Relevant bibliographies by topics / PIXEL EXTENSION

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'PIXEL EXTENSION'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "PIXEL EXTENSION"

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Xiang, Hongyin, Jinsha Yuan, and Sizu Hou. "Hybrid Predictor and Field-Biased Context Pixel Selection Based on PPVO." Mathematical Problems in Engineering 2016 (2016): 1–16. http://dx.doi.org/10.1155/2016/2585983.

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Most pixel-value-ordering (PVO) predictors generated prediction-errors including −1 and 1 in a block-by-block manner. Pixel-based PVO (PPVO) method provided a novel pixel scan strategy in a pixel-by-pixel way. Prediction-error bin 0 is expanded for embedding with the help of equalizing context pixels for prediction. In this paper, a PPVO-based hybrid predictor (HPPVO) is proposed as an extension. HPPVO predicts pixel in both positive and negative orientations. Assisted by expansion bins selection technique, this hybrid predictor presents an optimized prediction-error expansion strategy including bin 0. Furthermore, a novel field-biased context pixel selection is already developed, with which detailed correlations of around pixels are better exploited more than equalizing scheme merely. Experiment results show that the proposed HPPVO improves embedding capacity and enhances marked image fidelity. It also outperforms some other state-of-the-art methods of reversible data hiding, especially for moderate and large payloads.
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Heymes, J., J. Ivory, K. Stefanov, T. Buggey, O. Hetherington, M. Soman, and A. Holland. "Characterisation of a soft X-ray optimised CMOS Image Sensor." Journal of Instrumentation 17, no. 05 (May 1, 2022): P05003. http://dx.doi.org/10.1088/1748-0221/17/05/p05003.

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Abstract A prototype CMOS Image Sensor optimised for soft X-ray applications has been designed by the Centre for Electronic Imaging in partnership with Teledyne-e2v. The device features four different pixel variants (three variants of 40 μm pitch pixels, and one variant of 10 μm pixels) each covering a quarter of the 2 × 2 cm2 image area. The pixel designs feature fully depleted pinned photodiodes using reverse substrate bias and have been optimised for low noise operation, high responsivity and low image lag. The fabricated front-illuminated devices have been tested in a custom-built vacuum test setup at operating temperatures between -30°C and -40°C. The sensors feature less than 5 e- RMS readout noise and energy resolution of 142 eV at Mn-Kα (5.9 keV). The response to soft X-ray with different sensor parameters (e.g. pixel pitch, deep-depletion extension implant depth, and back-bias voltage) is also studied.
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Urban, K., M. Carminati, M. Descher, F. Edzards, D. Fink, C. Fiorini, M. Gugiatti, et al. "Characterization measurements of the TRISTAN multi-pixel silicon drift detector." Journal of Instrumentation 17, no. 09 (September 1, 2022): C09020. http://dx.doi.org/10.1088/1748-0221/17/09/c09020.

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Abstract Sterile neutrinos are a minimal extension of the standard model of particle physics. A laboratory-based approach to search for this particle is via tritium β-decay, where a sterile neutrino would cause a kink-like spectral distortion. The Karlsruhe Tritium Neutrino (KATRIN) experiment extended by a multi-pixel Silicon Drift Detector system has the potential to reach an unprecedented sensitivity to the keV-scale sterile neutrino in a lab-based experiment. The new detector system combines good spectroscopic performance with a high rate capability. In this work, we report about the characterization of charge-sharing between pixels and the commissioning of a 47-pixel prototype detector in a MAC-E filter.
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Subasinghe, Shyamantha. "Urban Growth: From pixel to reality." Abstracts of the ICA 1 (July 15, 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-353-2019.

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<p><strong>Abstract.</strong> Urban growth is a complex process created through the interaction of human and environmental conditions. The spatial configuration and dynamic process of urban growth is an important topic in contemporary geographical studies (Thapa and Murayama, 2010). However, urban growth pattern recognition is a challengeable task and it has become one of the major fields in Cartography. Since classical era of cartography, several methods have been employed in modelling and urban growth pattern recognition. It shows that there is no agreement among cartographer or any other spatial scientists on how to map the diverse patterns of urban growth.</p><p>Typical urban theories such as von Thünen’s (1826) bid-rent theory, Burgess’s (1925) concentric zone model, Christaller’s (1933) central place theory, and Hoyt’s (1939) sector model explain the urban structure in different manner. Most of them do not contribute to visualize the urban growth pattern spatiotemporally. Recently, by addressing this limitations, several sophisticated methods are used in urban growth visualization. Among them, morphological spatial pattern analysis (MSPA) is one of emerging raster data analysis methods which allows us to integrate neighbourhood interaction rules in urban growth pattern recognition and visualization. Angel et al. (2010) developed urban land classification (urban, suburban, rural, fringe open space, exterior open space, and rural open space) based on built and non-built land categories and detected three major types of urban growth (infill, extension, and leapfrog). However, developing urban land classifications using binary land use type and recognising only three types of urban growth pattern may be insufficient due to the existence of a higher complexity of urban growth. In such context, the present study introduce a geovisualization approach to map spatial patterns of urban growth using multiple land categories and develops three sub-levels of urban growth pattern for each major urban growth pattern.</p><p>The entire process of urban growth pattern recognition developed in this study can be summarized into three steps (Figure 1): (1) urban land mapping &amp;ndash; Landsat imageries representing two time points (2001 and 2017) were classified into two land categories (built and non-built) and developed into multiple classes using ancillary data, (2) recognizing three major patterns of urban growth (infill, extension, and leapfrog) &amp;ndash; the raster overlay method based on neighbourhood interaction rules, (3) development of sublevels of urban growth &amp;ndash; major three patterns were further developed and visualized nine urban growth patterns, namely low infill (LI), moderate infill (MI), high infill (HI), low extension (LE), moderate extension (ME), high extension (HE), low leapfrog (LL), moderate leapfrog (ML), and high leapfrog (HL). The developed procedure of this study in urban growth pattern recognition was tested using a case study of Colombo metropolitan area, Sri Lanka.</p>
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Straasø, Tine, Dirk Müter, Henning Osholm Sørensen, and Jens Als-Nielsen. "Objective algorithm to separate signal from noise in a Poisson-distributed pixel data set." Journal of Applied Crystallography 46, no. 3 (April 18, 2013): 663–71. http://dx.doi.org/10.1107/s0021889813006511.

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A statistical method to determine the background level and separate signal from background in a Poisson-distributed background data set is described. The algorithm eliminates the pixel with the highest intensity value in an iterative manner until the sample variance equals the sample mean within the estimated uncertainties. The eliminated pixels then contain signal superimposed on the background, so the integrated signal can be obtained by summation or by a simple extension by profile fitting depending on the user's preferences. Two additional steps remove `outliers' and correct for the underestimated extension of the peak area, respectively. The algorithm can be easily modified to specific needs, and an application on crystal truncation rods is presented, dealing with a sloping background.
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GAO, ZHIYUAN, SUYING YAO, JIANGTAO XU, and CHAO XU. "DYNAMIC RANGE EXTENSION OF CMOS IMAGE SENSORS USING MULTI-INTEGRATION TECHNIQUE WITH COMPACT READOUT." Journal of Circuits, Systems and Computers 22, no. 06 (July 2013): 1350042. http://dx.doi.org/10.1142/s0218126613500424.

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A multi-integration technology with compact readout method to extend CMOS image sensor's dynamic range is presented. Compared with the timing of rolling readout, compact readout extends the available pixel readout time by adjusting the time-domain offset between two adjacent rows and each integration time in one frame. Thus the column readout bus is working continuously rather than intermittently, which makes good use of the whole integration time and the available readout time can be extended. This dynamic range extension technology was implemented on a prototype chip with a 128 × 128 pixel array. The pixel readout time with compact readout method is almost as 3 times long as the one with rolling readout method while 39 dB dynamic range extension is achieved at 120 fps.
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Dingley, David J. "Extension of Orientation Mapping to the Transmission Electron Microscope." Materials Science Forum 495-497 (September 2005): 225–30. http://dx.doi.org/10.4028/www.scientific.net/msf.495-497.225.

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This paper describes progress in improving the spatial resolution of the well-established Orientation Imaging Microscopy technique, OIM, by developing an analogous procedure for the transmission electron microscope. The transmission orientation micrographs are obtained by recording a large series of dark field micrographs taken from the chosen area in the specimen. This area is selected so that it contains all of the grains of interest and is imaged at sufficiently high magnification to yield the spatial resolution required. The changing intensity of each pixel in different dark field micrographs permits the equivalent of a diffraction pattern for that pixel to be constructed. This enables determination of the lattice orientation of small volumes in the sample corresponding to that imaged in each individual pixel. Experimentation has shown that problems arise however, that decrease the fraction of correctly measured points due to ambiguities in determining the index of higher order reflections, especially when the total number of reflections observed is small. The solution has been to both modify the indexing procedure and to sum the diffraction vectors observed within a single grain. The paper concentrates on a detailed analysis of a heavily deformed aluminium sample, chosen because of the fragmentation of the structure.
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Zhao, Ge, Ying Kui Du, and Yan Dong Tang. "A New Extension of the Rank Transform for Stereo Matching." Advanced Engineering Forum 2-3 (December 2011): 182–87. http://dx.doi.org/10.4028/www.scientific.net/aef.2-3.182.

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Stereo matching methods often use rank transform to deal with image distortions and brightness differences prior to matching but a pixel in the rank transformed image may look more similar to its neighbor, which would cause matching ambiguity. We tackle this problem with two proposals. Firstly, instead of using two values 0 and 1,we increase the discriminative power of the rank transform by using a linear, smooth transition zone between 0 and 1 for intensities that are close together. Secondly, we propose a new Bayesian stereo matching model by not only considering the similarity between left and right image pixels but also considering the ambiguity level of them in their own image independently. We test our algorithm on both intensity and color images with brightnesss differences. Corresponding 2D disparity maps and 3D reconstruction results verify the effectiveness of our method.
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Liu, Yifan, Zhenjiang Cai, and Xuesong Suo. "A Multiframes Integration Object Detection Algorithm Based on Time-Domain and Space-Domain." Mathematical Problems in Engineering 2018 (2018): 1–15. http://dx.doi.org/10.1155/2018/4127305.

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In order to overcome the disadvantages of the commonly used object detection algorithm, this paper proposed a multiframes integration object detection algorithm based on time-domain and space-domain (MFITS). At first, the consecutive multiframes were observed in time-domain. Then the horizontal and vertical four-direction extension neighborhood of each target pixel were selected in space-domain. Transverse and longitudinal sections were formed by fusing of the time-domain and space-domain. The mean and standard deviation of the pixels in transverse and longitudinal section were calculated. We also added an improved median filter to generate a new pixel in each target pixel position, eventually to generate a new image. This method is not only to overcome the RPAC method affected by lights, shadows, and noise, but also to reserve the object information to the maximum compared with the interframe difference method and overcome the difficulty in dealing with the high frequency noise compared with the adaptive background modeling algorithm. The experiment results showed that the proposed algorithm reserved the motion object information well and removed the background to the maximum.
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Jain, Neeraj Kumar, and Singara Singh Kasana. "High-Capacity Reversible Data Hiding Using Modified Pixel Value Ordering Approach." Journal of Circuits, Systems and Computers 27, no. 11 (June 6, 2018): 1850175. http://dx.doi.org/10.1142/s021812661850175x.

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The proposed reversible data hiding technique is the extension of Peng et al.’s technique [F. Peng, X. Li and B. Yang, Improved PVO-based reversible data hiding, Digit. Signal Process. 25 (2014) 255–265]. In this technique, a cover image is segmented into nonoverlapping blocks of equal size. Each block is sorted in ascending order and then differences are calculated on the basis of locations of its largest and second largest pixel values. Negative predicted differences are utilized to create empty spaces which further enhance the embedding capacity of the proposed technique. Also, the already sorted blocks are used to enhance the visual quality of marked images as pixels of these blocks are more correlated than the unsorted pixels of the block. Experimental results show the effectiveness of the proposed technique.
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Dissertations / Theses on the topic "PIXEL EXTENSION"

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Duy, Nguyen Tang Kha, and 阮繒可維. "MODE-DEPENDENT PIXEL-BASED WEIGHTED INTRA PREDICTION FOR HEVC SCALABLE EXTENSION." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/98216266987865616574.

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碩士
國立交通大學
電機資訊國際學程
102
ISO/IEC運動圖像專家組和ITU-T的視頻編碼專家組目前正在聯合開發HEVC的可伸縮性延長，他們提供了RefIdx和TextureRL這兩種方法來執行層間預測。根據TextureRL的設計，我們提出了一種模式相關的基於像素的加權幀內預測（MPWIP）編碼的增強層（EL）的方法。此方案首先分解的EL預測，通過常規的預測，與並列配置的基本層（BL）構建重構到它們各自的直流分量和交流分量的塊，然後使用一個基於像素的加權方案來計算它們的加權總和，以達到更好的預測信號。用最小二乘法擬合對數據進行訓練，得到與不同的組件相關聯的加權因子。根據觀察，在常用的測試條件下，他們強烈依賴EL的幀內預測模式和預測塊的大小，但不依賴於QP設置。相較於SHM-1.0，MPWIP在AI-2倍的配置下節省了約1.0％的平均BD率，在AI-1.5的配置下節省了約0.5％的平均BD率。此外，跟其它現有工程中表現最優秀的比較起來，在AI-2倍的配置下節省了約0.3％的平均BD率，在AI-1.5的配置下節省了約0.1％的平均BD率。
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RAJAT, BHATNAGAR. "NEW ALGORITHMS IN COLOR VISUAL CRYPTOGRAPHY." Thesis, 2018. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16176.

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Visual cryptography framework is a cryptographic technique which permits visual data (E.g. composed content, manually written notes and pictures) to be encoded in such a way, that decoding can be performed by the person visual framework, without the help of PCs. There are different measures, on which execution of visual cryptography plot depends, for example, • pixel extension, • contrast • security • Accuracy • computational unpredictability • share created is significant or negligible • nature of secret pictures( whichever double or shading) and • Number of secret images (whichever single or various) scrambled by the strategy. Visual cryptography is a decent method for scrambling and unscrambling information on machines that have less figuring power since it doesn't depends on complex scientific squares and structures for encryption and decoding.
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Books on the topic "PIXEL EXTENSION"

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Fossati, Giovanna. From Grain to Pixel. NL Amsterdam: Amsterdam University Press, 2018. http://dx.doi.org/10.5117/9789463725002.

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In From Grain to Pixel, Giovanna Fossati analyzes the transition from analog to digital film and its profound effects on filmmaking and film archiving. Reflecting on the theoretical conceptualization of the medium itself, Fossati poses significant questions about the status of physical film and the practice of its archival preservation, restoration, and presentation. From Grain to Pixel attempts to bridge the fields of film archiving and academic research by addressing the discourse on film's ontology and analyzing how different interpretations of what film is affect the role and practices of film archives. By proposing a novel theorization of film archival practice, Fossati aims to stimulate a renewed dialogue between film scholars and film archivists. Almost a decade after its first publication, this revised edition covers the latest developments in the field. Besides a new general introduction, a new conclusion, and extensive updates to each chapter, a novel theoretical framework and an additional case study have been included.
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Whitehead, James. Alienism. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198733706.003.0003.

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This chapter uses the history of medicine and psychiatry to examine attitudes towards the creative or literary mind in the eighteenth and nineteenth centuries. Accounting for existing scholarly work on subjects such as the nervous temperament and hysteria, the chapter draws from less familiar writing to demonstrate how trends in medical thinking and practice changed the connotations of madness in the period. These trends included the extension of the range of medical discourse; overlapping concepts of ‘partial insanity’ or ‘moral insanity’, which played a role in effecting this extension; and ‘moral management’ or ‘moral treatment’, which also created a wider interpenetration of medical and social or cultural values. Medical figures discussed include William Battie, William Perfect, Joseph Mason Cox, John Conolly, J. C. A. Heinroth, J. C. Reil, James Cowles Prichard, William Pargeter, Alexander Crichton, Thomas Arnold, Benjamin Rush, Pinel, Esquirol, the Tuke and Monro families, and Forbes Winslow.
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Fioritti, Angelo, and Thomas Marcacci. Coercion in Europe. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198788065.003.0018.

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Modern psychiatry developed in Europe with Pinel in the Enlightenment: the concept of human rights was first conceived and the first laws to protect citizens’ rights in psychiatry were introduced. However, Europe is also where some of the worst violations of human rights in psychiatry have taken place. Europe has developed several international institutions such as the European Union and the European Court of Human Rights. Their covenants, along with those from the United Nations, have repeatedly attempted to address the issue of freedom and coercion in medicine and in psychiatry. The World Health Organization Regional Office for Europe has paid extensive attention to coercion and human rights in psychiatry. Europe has a long history and tradition of mental health care and there are significant variations between countries in its delivery and legislation. This chapter outlines some key historical events and attitudes regarding coercion in European society ,with particular attention being paid to coercion in the community.
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Book chapters on the topic "PIXEL EXTENSION"

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Küppers, Fabian, Anselm Haselhoff, Jan Kronenberger, and Jonas Schneider. "Confidence Calibration for Object Detection and Segmentation." In Deep Neural Networks and Data for Automated Driving, 225–50. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-01233-4_8.

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AbstractCalibrated confidence estimates obtained from neural networks are crucial, particularly for safety-critical applications such as autonomous driving or medical image diagnosis. However, although the task of confidence calibration has been investigated on classification problems, thorough investigations on object detection and segmentation problems are still missing. Therefore, we focus on the investigation of confidence calibration for object detection and segmentation models in this chapter. We introduce the concept of multivariate confidence calibration that is an extension of well-known calibration methods to the task of object detection and segmentation. This allows for an extended confidence calibration that is also aware of additional features such as bounding box/pixel position and shape information. Furthermore, we extend the expected calibration error (ECE) to measure miscalibration of object detection and segmentation models. We examine several network architectures on MS COCO as well as on Cityscapes and show that especially object detection as well as instance segmentation models are intrinsically miscalibrated given the introduced definition of calibration. Using our proposed calibration methods, we have been able to improve calibration so that it also has a positive impact on the quality of segmentation masks as well.
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García-Álvarez, David, Javier Lara Hinojosa, and Francisco José Jurado Pérez. "Global Thematic Land Use Cover Datasets Characterizing Artificial Covers." In Land Use Cover Datasets and Validation Tools, 419–42. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_21.

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AbstractThe mapping of artificial covers at a global scale has received increasing attention in recent years. Numerous thematic global Land Use Cover (LUC) datasets focusing on artificial surfaces have been produced at increasingly high spatial resolutions and using methods that ensure improved levels of accuracy. In fact, there are several long time series of maps showing the evolution of artificial surfaces from the 1980s to the present. Most of them allow for change detection over time, which is possible, thanks to the high level of accuracy at which artificial surfaces can be mapped and because transitions from artificial to non-artificial covers are very rare. Global thematic LUC datasets characterizing artificial covers usually map the extent or percentage of artificial or urban areas across the world. They do not provide thematic detail on the different uses or covers that make up artificial or urban surfaces. Unlike other general or thematic LUC datasets, those focusing on artificial covers make extensive use of radar data. In several cases, optical and radar imagery have been used together, as each source provides complementary information. Global Urban Expansion 1992–2016 and ISA, which were produced at a spatial resolution of 1 km, are the coarsest of the nine datasets reviewed in this chapter. ISA provides information on the percentage of impervious surface area per pixel. The GHSL edition of 2014 and the GMIS at 30 m also provide sub-pixel information, whereas all the other datasets reviewed here only map the extent of artificial/impervious/urban areas. Most of the datasets reviewed in this chapter were produced at a spatial resolution of 30 m. This is due to the extensive use of Landsat imagery in the production of these datasets. Landsat provides a long, high-resolution series of satellite imagery that enables effective mapping of the evolution of impervious surfaces at detailed scales. Of the datasets produced at 30 m, Global Urban Land maps artificial covers for seven different dates between 1980 and 2015, while GHSL does the same for five different dates between 1987 and 2016, although the map for the last date was produced at 20 m. GUB maps the extent of urban land for seven dates between 1990 and 2018 and was produced together with GAIA, which provides an annual series of maps for the period 1985–2018. HBASE, GMIS and GISM, also at 30 m, are only available for one reference year. The same is true of GUF and WSF, which were produced as part of the same effort to map global artificial surfaces as accurately as possible. They provide the most detailed datasets up to date, with spatial resolutions of 12 m (GUF) and 10 m (WSF). Future updates of WSF will produce a consistent time series of global LC maps of artificial areas from the 1980s to the present. It aims to be the longest, most detailed, most accurate dataset ever produced on this subject.
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Ciulla, Carlo. "The Extension of Theory and Methodology to B-Splines." In Improved Signal and Image Interpolation in Biomedical Applications, 223–38. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-202-2.ch014.

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The organization of the chapter is similar to that of Chapters VII and X. The methodological approach to extend the unifying theory to the one dimensional quadratic and cubic B-Splines is herein reported along with the most relevant mathematical details. This chapter should be read along with Appendix VI where proofs are given to the assertions herein presented. In either of the two cases: quadratic and cubic B-Spline the math process starts from the calculation of the Intensity-Curvature Functional and continues with the calculation of the Sub-pixel Efficacy Region. Finally, the math process arrives to the calculation of the novel re-sampling locations through the formulas of the unifying theory seen in equations (23) and (33) for the quadratic and the cubic models respectively. The chapter concludes with a section that addresses specifically the theoretical proposition of resilient interpolation for the two classes of B-Splines. This is conducted consistently with Chapters VII and XII of the book choosing to equate the two intensity-curvature terms (before and after interpolation) as the starting point of the math deduction.
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"Flash Extensions." In Pushing Pixels, 81. Routledge, 2013. http://dx.doi.org/10.4324/9780240818443-16.

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Tait, Roger, and Gerald Schaefer. "Similarity Metrics for Medical Image Registration." In Encyclopedia of Healthcare Information Systems, 1241–46. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-889-5.ch155.

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The most important component of an image registration algorithm is the similarity metric used to determine when images are in accurate alignment (Penney, Weese, Little, Desmedt, Hill, & Hawkes, 1998). In Figure 1, the inputs to and output from a basic metric are illustrated. In general, a metric works by examining corresponding pixel values in both fixed and moving images and then formulating a measure of similarity based on the relationship between these intensities. The metric assumes that the relationship changes with variations in the spatial transformation used to map between images and a maximum similarity is achieved when the images are in close alignment (Brown, 1992). Intensity equality which is high when pixels are similar is one such relationship employed as a similarity metric in single-modal registration where images are captured using the same sensor type. Total equality, however, is seldom reached due to noise and image acquisition inconsistencies. Additional robustness is therefore achieved by assessing the ratio of intensities and minimising the variance of such ratios. When images are acquired with different sensor types, as is typically the case in multimodal registration, an extension of the ratio method which maximises the weighted sum of variances can be employed. Alternatively, a relationship estimating the entropy of corresponding intensity pairs can be formulated where entropy, derived from information theory (Shannon, 1948), is the measure of the amount of information contained within a signal. Although many algorithms have been proposed, similarity calculation remains a complex task.
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Huang, Junzhou, and Ruoyu Li. "Fast Regions-of-Interest Detection in Whole Slide Histopathology Images." In Histopathology and Liquid Biopsy [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94238.

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Detecting and localizing pathological region of interest (ROI) over whole slide pathological image (WSI) is a challenging problem. To reduce computational complexity, we introduced a two-stage superpixel-based ROI detection approach. To efficiently construct superpixels with fine details preserved, we utilized a novel superpixel clustering algorithm which cluster blocks of pixel in a hierarchical fashion. The major reduction of complexity is attributed to the combination of boundary update and coarse-to-fine refinement in superpixel clustering. The former maintains the accuracy of segmentation, meanwhile, avoids most of unnecessary revisit to the ‘non-boundary’ pixels. The latter reduces the complexity by faster localizing those boundary blocks. Detector of RoI was trained using handcrafted features extracted from super-pixels of labeled WSIs. Extensive experiments indicates that the introduced superpixel clustering algorithm showed lifted accuracy on lung cancer WSI detection at much less cost, compared to other classic superpixel clustering approaches. Moreover, the clustered superpixels do not only facilitate a fast detection, also deliver a boundary-preserving segmentation of ROI in whole slide images.
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Ciulla, Carlo. "The Intuition." In Improved Signal and Image Interpolation in Biomedical Applications, 23–30. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-202-2.ch002.

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This chapter reports on the initial idea which gave birth to the investigation which subsequently became the unifying theory. The intuition herein illustrated consists of the realization that the following concept might have been supported by reasonable ground of truth after extensive study. The concept is that there exists a region of spatial extent within two nodes (1D), a pixel (2D), or a voxel (3D) where the interpolation function has best approximation properties. Naturally, the adjective best is to be interpreted with its relativity to the potentiality of the specific model interpolation function to determine approximation properties. Such potentiality according to the intuition resides in: (i) the sequel of discrete samples (e.g. the pixel intensities for the two-dimensional case), and (ii) the curvature of the model interpolator as expressed by its second order derivatives. The study in this chapter is initiated for the trivariate linear interpolation function and formalized through a set of definitions, an observation and a theorem.
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Castel-Clavera, Jorge, François Pimont, Thomas Opitz, Julien Ruffault, and Jean-Luc Dupuy. "Modelling the influence of regional landscape drivers on spatio-temporal patterns of wildfire activity." In Advances in Forest Fire Research 2022, 1228–33. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_186.

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Identifying the drivers of fire activity’s spatio-temporal variability is challenging in densely populated and fire prone landscapes. Human usage and climate affect the local fire regime in contrasting ways. The identification of these drivers is further complicated due to the stochastic nature of fire activity. Fire regimes in Mediterranean France show contrasted spatial patterns and temporal changes at decadal scales. While overall, the number of fires decreased over the last thirty years, certain zones suffered local increases in fire activity. To describe and understand the drivers of those changes and the spatial variability, we introduced several improvements in the Firelihood model - a probabilistic framework capable of prediction fire occurrence of >1ha fires, and exceedance probabilities of 10 and 100 ha thresholds - by incorporating Land-Use Land-Cover (LULC) explanatory variables, as well as by enhancing its spatio-temporal components to account for unexplained variability in models. The novel model - fitted on a 2km-pixel grid, but relying on variables aggregated at various spatial aggregations (2, 4, 8 and 16km) - is used to explain the observed spatial patterns of fire activity during the last 27 years, as well as the regional and local changes observed between two decades with contrasted fire activities by running counterfactual scenarios. LULC variables, including road density, wildland-urban interface, or expert-based fuel type rating explain a significant part (as much as fire-weather) of the variability in fire occurrence (>1ha), thereby reducing the effect of unexplained spatial variability. The selected occurrence model uses only 2km-resolution variables, as local factors have a high influence on fire ignition and initial spread. The occurrence of larger fire (>10 ha or >100 ha) is largely driven by fire-weather, followed by unexplained spatial variability; selected models for larger fires uses a few LULC variables aggregated at 4, 8 and/or 16 km. This indicates the influence of surrounding factors on fire size extension. The spatial effect for fire occurrence presents contrasted hot and cold-spots throughout the area, while it has a clear east to west decreasing trend for fire size. Regarding temporal changes in fire activity between the two decades, changes in fire weather induced a strong increase in fire probability in many hot spots throughout the region, but this effect was overcompensated by a negative trend associated with unexplained temporal factors (and of larger magnitude than fire weather). LULC variables had negligible effect on the fire regime’s temporal trends. Moreover, an east-to-west gradient appears for the spatial trends of the larger fires, and for the temporal trends in all sizes, highlighting the increase in fire activity in the western side of the region. Those results suggest that observed temporal changes in fire activity are the result of a changing socio-economic or policy frame, probably related to reinforced suppression policies following the year 2003, and the increasing agricultural abandonment.
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Islam, Mohammad Tariqul, Ferdaus Ahmed, Mowafa Househ, and Tanvir Alam. "A Deep Learning-Based Approach Towards Simultaneous Localization of Optic Disc and Fovea from Retinal Fundus Images." In Studies in Health Technology and Informatics. IOS Press, 2023. http://dx.doi.org/10.3233/shti230575.

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In this work, we propose a multi-task learning-based approach towards the localization of optic disc and fovea from human retinal fundus images using a deep learning-based approach. Formulating the task as an image-based regression problem, we propose a Densenet121-based architecture through an extensive set of experiments with a variety of CNN architectures. Our proposed approach achieved an average mean absolute error of only 13pixels (0.04%), mean squared error of 11 pixels (0.005%), and a root mean square error of only 0.02 (13%) on the IDRiD dataset.
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Bagchi, Parama, Debotosh Bhattacharjee, and Mita Nasipuri. "Facial Expression Analysis Using 3D Range Images." In Innovative Research in Attention Modeling and Computer Vision Applications, 346–64. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8723-3.ch014.

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This proposed work deals with the uses and techniques of 3D range images for facial expression recognition. A 3D range image is basically a depth image (also called a 2.5D image), which contains depth information at each (x, y) pixel of the image. In the future, computer vision will become a part of our everyday life because of all of its extensive applications. Hence, the interactions between users and computers need to be more natural, and emphasizing as well as enumerating human-to-human communication to a larger extent. That is the reason why facial expressions find importance. Facial expression is an important factor of communication, and they reveal unknown facts about a person's feelings and emotions. There comes the need of a real facial expression detection system. Also, changes in expression are of great importance for the interpretation of human facial behavior as well as face recognition.
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Conference papers on the topic "PIXEL EXTENSION"

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Jo, Sung-Hyun, Myunghan Bae, Jae-Sung Kong, and Jang-Kyoo Shin. "Dynamic range extension of a CMOS active pixel sensor by in-pixel charge mixing." In IS&T/SPIE Electronic Imaging, edited by Ralf Widenhorn and Valérie Nguyen. SPIE, 2011. http://dx.doi.org/10.1117/12.876629.

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"FPGA based extension to the multichannel pixel readout ASIC." In 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC). IEEE, 2013. http://dx.doi.org/10.1109/nssmic.2013.6829710.

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Nguyen, Tang Kha Duy, and Chun-Chi Chen. "Mode-dependent pixel-based weighted intraprediction for HEVC scalable extension." In Sixth International Conference on Digital Image Processing, edited by Charles M. Falco, Chin-Chen Chang, and Xudong Jiang. SPIE, 2014. http://dx.doi.org/10.1117/12.2064639.

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Dallas, William J. "Correlelogram as a stereo display element: theory and computer simulations." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/oam.1986.tug5.

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The correlelogram is a multiple layer optical element which can be used for stereo display. This paper concentrates on extension of the theory behind the correlelogram and on computer simulations for generating images as they would appear on the display. The theoretical extensions covered in this paper are smoothing of the pixel structure; elimination of artifacts; and extension of the theory to multilayer, multiperspective displays.
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Seo, Min-Woong, Sang-Ho Seo, and Jang-Kyoo Shin. "Extension of high-illumination level dynamic range for CMOS active pixel sensors." In Smart Materials, Nano-and Micro-Smart Systems, edited by Said F. Al-Sarawi, Vijay K. Varadan, Neil Weste, and Kourosh Kalantar-Zadeh. SPIE, 2008. http://dx.doi.org/10.1117/12.816721.

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Carmona-Galán, R., J. A. Leñero-Bardallo, J. Fernández-Berni, and Á. Rodríguez-Vázquez. "Pixel-wise parameter adaptation for single-exposure extension of the image dynamic range." In ICDSC '16: 10th international conference on distributed smart camera. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2967413.2967442.

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Peizerat, A., F. Guezzi, M. Benetti, A. Dupret, R. Jalby, L. Bruno de Sa, W. Guicquero, and Y. Blanchard. "A 3T or 4T pixel compatible DR extension technique suitable for 3D-IC imagers: A 800×512 and 5μm pixel pitch 2D demonstrator." In 2015 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2015. http://dx.doi.org/10.1109/iscas.2015.7168828.

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Kong, Jae-Sung, Sung-Hyun Jo, Kyung-Hwa Choi, Sang-Ho Seo, Pyung Choi, and Jang-Kyoo Shin. "Dynamic range extension of an active pixel sensor by combining output signals from photodiodes with different sensitivities." In IS&T/SPIE Electronic Imaging, edited by Erik Bodegom and Valérie Nguyen. SPIE, 2010. http://dx.doi.org/10.1117/12.847994.

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Duelsen, Carsten, Tobias Flick, Wolfgang WAGNER, and Marius WENSING. "A possible implementation of a detector specific extension of the FELIX firmware for the ITk Pixel sub-detector." In Topical Workshop on Electronics for Particle Physics. Trieste, Italy: Sissa Medialab, 2019. http://dx.doi.org/10.22323/1.343.0064.

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Bae, Myunghan, Sung-Hyun Jo, Jang-Kyoo Shin, Pyung Choi, and Sang-Ho Seo. "Dynamic Range Extension of a CMOS Active Pixel Sensor with Gate/Body-Tied PMOSFET-Type Photodetectors Using a Feedback Structure." In 2012 Symposium on Photonics and Optoelectronics (SOPO 2012). IEEE, 2012. http://dx.doi.org/10.1109/sopo.2012.6271130.

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You might also be interested in the extended bibliographies on the topic 'PIXEL EXTENSION' for particular source types:
Journal articles
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