Relevant bibliographies by topics / Photography – Digital techniques – Classification

Academic literature on the topic 'Photography – Digital techniques – Classification'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Photography – Digital techniques – Classification"

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Farhat, Farshid, Mohammad Mahdi Kamani, and James Z. Wang. "CAPTAIN: Comprehensive Composition Assistance for Photo Taking." ACM Transactions on Multimedia Computing, Communications, and Applications 18, no. 1 (January 31, 2022): 1–24. http://dx.doi.org/10.1145/3462762.

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Many people are interested in taking astonishing photos and sharing them with others. Emerging high-tech hardware and software facilitate the ubiquitousness and functionality of digital photography. Because composition matters in photography, researchers have leveraged some common composition techniques, such as the rule of thirds and the perspective-related techniques, in providing photo-taking assistance. However, composition techniques developed by professionals are far more diverse than well-documented techniques can cover. We present a new approach to leverage the underexplored photography ideas, which are virtually unlimited, diverse, and correlated. We propose a comprehensive fork-join framework, named CAPTAIN ( C omposition A ssistance for P hoto Ta k in g), to guide a photographer with a variety of photography ideas. The framework consists of a few components: integrated object detection, photo genre classification, artistic pose clustering, and personalized aesthetics-aware image retrieval. CAPTAIN is backed by a large managed dataset crawled from a Website with ideas from photography enthusiasts and professionals. The work proposes steps to decompose a given amateurish shot into composition ingredients and compose them to bring the photographer a list of useful and related ideas. The work addresses personal preferences for composition by presenting a user-specified preference list of photography ideas. We have conducted many experiments on the newly proposed components and reported findings. A user study demonstrates that the work is useful to those taking photos.
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Díaz, Gastón Mauro, and José Daniel Lencinas. "Model-based local thresholding for canopy hemispherical photography." Canadian Journal of Forest Research 48, no. 10 (October 2018): 1204–16. http://dx.doi.org/10.1139/cjfr-2018-0006.

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Canopy hemispherical photography (HP) is widely used to estimate forest structural variables. To achieve good results with HP, a classification algorithm is needed to produce binary images to accurately estimate the gap fraction. Our aim was to develop a local thresholding method for binarizing carefully acquired hemispherical photographs. The method was implemented in the R package “caiman”. Working with photographs of artificial structures and using a linear model, our method turns the cumbersome problem of finding the optimal threshold value into a simpler one, which is estimating the digital number (DN) of the sky. Using hemispherical photographs of a deciduous forest, we compared our method with several standard and state-of-the-art binarization techniques. Our method was as accurate as the best-tested binarization techniques, regardless of the exposure, as long as it was between 0 and 2 stops over the open sky auto-exposure. Moreover, our method did not require knowing the exact relative exposure. Intending to balance accuracy and practicality, we mapped the sky DN using the values extracted from gaps. However, we discussed whether a more accurate but less practical way to map sky DN could provide, along with our method, a new benchmark.
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Lim, H. S., M. Z. Matjafri, and K. Abdullah. "Land Use/Cover Classification over Small Areas Using Conventional Digital Camcorder Imagery Based on Frequency-Based Contextual and Neural Network Classification Techniques." Advanced Materials Research 650 (January 2013): 658–63. http://dx.doi.org/10.4028/www.scientific.net/amr.650.658.

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An airborne survey was conducted to produce land cover/use maps. The feasibility of using a conventional digital camcorder to acquire remotely sensed data was investigated, and the imagery for land cover mapping using remote sensing technique was evaluated. The study area was the Universiti Sains Malaysia campus, Penang, located in Peninsular Malaysia. Digital images were taken from a low-attitude light aircraft, Cessna 172Q, at an average altitude of 2.4384 km above sea level. The use of a digital camcorder as a sensor to capture digital images is more economical compared with other airborne sensors. This technique is designed to overcome the problem of obtaining cloud-free photographs from a satellite platform in equatorial regions. Digital video imageries were taken in the red, green, and blue bands. A comparison between frequency-based contextual and neural network classification techniques for analyzing digital camcorder imagery is presented. Frequency-based contextual and neural network classification techniques were applied to the digital camera spectral bands (red, green, and blue) to extract the thematic information from the acquired scenes. The classified map was compared with the ground truth data, and accuracy was evaluated by an error matrix. Results indicate that a conventional digital camcorder can be used to acquire digital imageries for land cover/use mapping of a small area of coverage.
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Kumar, Halaguru Basavarajappa Basanth, and Haranahalli Rajanna Chennamma. "Classification of Computer Graphic Images and Photographic Images Based on Fusion of Color and Texture Features." Revue d'Intelligence Artificielle 35, no. 3 (June 30, 2021): 201–7. http://dx.doi.org/10.18280/ria.350303.

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With the rapid advancement in digital image rendering techniques, allows the user to create surrealistic computer graphic (CG) images which are hard to distinguish from photographs captured by digital cameras. In this paper, classification of CG images and photographic (PG) images based on fusion of global features is presented. Color and texture of an image represents global features. Texture feature descriptors such as gray level co-occurrence matrix (GLCM) and local binary pattern (LBP) are considered. Different combinations of these global features are investigated on various datasets. Experimental results show that, fusion of color and texture features subset can achieve best classification results over other feature combinations.
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Nahid, Abdullah-Al, Mohamad Ali Mehrabi, and Yinan Kong. "Histopathological Breast Cancer Image Classification by Deep Neural Network Techniques Guided by Local Clustering." BioMed Research International 2018 (2018): 1–20. http://dx.doi.org/10.1155/2018/2362108.

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Breast Cancer is a serious threat and one of the largest causes of death of women throughout the world. The identification of cancer largely depends on digital biomedical photography analysis such as histopathological images by doctors and physicians. Analyzing histopathological images is a nontrivial task, and decisions from investigation of these kinds of images always require specialised knowledge. However, Computer Aided Diagnosis (CAD) techniques can help the doctor make more reliable decisions. The state-of-the-art Deep Neural Network (DNN) has been recently introduced for biomedical image analysis. Normally each image contains structural and statistical information. This paper classifies a set of biomedical breast cancer images (BreakHis dataset) using novel DNN techniques guided by structural and statistical information derived from the images. Specifically a Convolutional Neural Network (CNN), a Long-Short-Term-Memory (LSTM), and a combination of CNN and LSTM are proposed for breast cancer image classification. Softmax and Support Vector Machine (SVM) layers have been used for the decision-making stage after extracting features utilising the proposed novel DNN models. In this experiment the best Accuracy value of 91.00% is achieved on the 200x dataset, the best Precision value 96.00% is achieved on the 40x dataset, and the best F-Measure value is achieved on both the 40x and 100x datasets.
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Mohammed, Hersh A., Shahab W. Kareem, and Amin S. Mohammed. "A COMPARATIVE EVALUATION OF DEEP LEARNING METHODS IN DIGITAL IMAGE CLASSIFICATION." Kufa Journal of Engineering 13, no. 4 (October 14, 2022): 53–69. http://dx.doi.org/10.30572/2018/kje/130405.

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White Blood Cells are important in determining a person's overall health. The blood disease diagnosis includes characterization and identification of blood samples of a patient. Neural Networks (NN), Convolutional Neural Networks (CNN), and a mix of CNN and NN models are used in recent techniques to improve visual content understanding. From start to finish, The authors were driven to uncover remarkable characteristics in example photographs because of their expertise in medical image analysis. For blood cell classification, the overall performance of individual cell patches extracted using blood smear techniques has been excellent. These approaches, on the other hand, are incapable of dealing with the issue of multiple cells overlapping. Because of the blood cell overlapping pictures, the input image dimension is compressed, the classification time is reduced, as well as the network works better with more accurate parameter estimates. In this review, we are evaluating a detailed scientific comparison of some of the ways used to improve WBC classification. The authors will show some of the ways used to automatically classify their cells. The results of some of the tests used using available data, compared to blood cell classification techniques.
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Mohammed, Hersh A., Shahab W. Kareem, and Amin S. Mohammed. "A COMPARATIVE EVALUATION OF DEEP LEARNING METHODS IN DIGITAL IMAGE CLASSIFICATION." Kufa Journal of Engineering 13, no. 4 (October 14, 2022): 53–69. http://dx.doi.org/10.30572/2018/kje/1305.

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White Blood Cells are important in determining a person's overall health. The blood disease diagnosis includes characterization and identification of blood samples of a patient. Neural Networks (NN), Convolutional Neural Networks (CNN), and a mix of CNN and NN models are used in recent techniques to improve visual content understanding. From start to finish, The authors were driven to uncover remarkable characteristics in example photographs because of their expertise in medical image analysis. For blood cell classification, the overall performance of individual cell patches extracted using blood smear techniques has been excellent. These approaches, on the other hand, are incapable of dealing with the issue of multiple cells overlapping. Because of the blood cell overlapping pictures, the input image dimension is compressed, the classification time is reduced, as well as the network works better with more accurate parameter estimates. In this review, we are evaluating a detailed scientific comparison of some of the ways used to improve WBC classification. The authors will show some of the ways used to automatically classify their cells. The results of some of the tests used using available data, compared to blood cell classification techniques.
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Basanth Kumar, Halaguru Basavarajappa, and Haranahalli Rajanna Chennamma. "Dataset for classification of computer graphic images and photographic images." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 1 (March 1, 2022): 137. http://dx.doi.org/10.11591/ijai.v11.i1.pp137-147.

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<span lang="EN-US">The recent advancements in computer graphics (CG) image rendering techniques have made it easy for the content creators to produce high quality computer graphics similar to photographic images (PG) confounding the most naïve users. Such images used with negative intent, cause serious problems to the society. In such cases, proving the authenticity of an image is a big challenge in digital image forensics due to high photo-realism of CG images. Existing datasets used to assess the performance of classification models are lacking with: (i) larger dataset size, (ii) diversified image contents, and (iii) images generated with the recent digital image rendering techniques. To fill this gap, we created two new datasets, namely, ‘JSSSTU CG and PG image dataset’ and ‘JSSSTU PRCG image dataset’. Further, the complexity of the new datasets and benchmark datasets are evaluated using handcrafted texture feature descriptors such as gray level co-occurrence matrix, local binary pattern and VGG variants (VGG16 and VGG19) which are pre-trained convolutional neural network (CNN) models. Experimental results showed that the CNN-based pre-trained techniques outperformed the conventional support vector machine (SVM)-based classifier in terms of classification accuracy. Proposed datasets have attained a low f-score when compared to existing datasets indicating they are very challenging.</span>
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Wittmann, Florian, Dieter Anhuf, and Wolfgang J. Funk. "Tree species distribution and community structure of central Amazonian várzea forests by remote-sensing techniques." Journal of Tropical Ecology 18, no. 6 (September 25, 2002): 805–20. http://dx.doi.org/10.1017/s0266467402002523.

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In central Amazonian white-water floodplains (várzea), different forest types become established in relation to the flood-level gradient. The formations are characterized by typical patterns of species composition, and their architecture results in different light reflectance patterns, which can be detected by Landsat TM image data. Ground checking comprised a detailed forest inventory of 4 ha, with Digital Elevation Models (DEM) being generated for all sites. The results indicate that, at the average flood level of 3 m, species diversity and architecture of the forests changes, thus justifying the classification into the categories of low várzea (várzea baixa) and high várzea (várzea alta). In a first step to scale up, the study sites were observed by aerial photography. Tree heights, crown sizes, the projected crown area coverage and the gap frequencies provide information, which confirms a remotely sensed classification into three different forest types. The structure of low várzea depends on the successional stage, and species diversity increases with increasing age of the formations. In high várzea, only one successional stage was found and species diversity is higher than in all low-várzea formations. The more complex architecture of the high-várzea forest results in a more diffuse behaviour pattern in pixel distribution, when scanned by TM image data.
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Malik, Owais A., Idrus Puasa, and Daphne Teck Ching Lai. "Segmentation for Multi-Rock Types on Digital Outcrop Photographs Using Deep Learning Techniques." Sensors 22, no. 21 (October 22, 2022): 8086. http://dx.doi.org/10.3390/s22218086.

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The basic identification and classification of sedimentary rocks into sandstone and mudstone are important in the study of sedimentology and they are executed by a sedimentologist. However, such manual activity involves countless hours of observation and data collection prior to any interpretation. When such activity is conducted in the field as part of an outcrop study, the sedimentologist is likely to be exposed to challenging conditions such as the weather and their accessibility to the outcrops. This study uses high-resolution photographs which are acquired from a sedimentological study to test an alternative basic multi-rock identification through machine learning. While existing studies have effectively applied deep learning techniques to classify the rock types in field rock images, their approaches only handle a single rock-type classification per image. One study applied deep learning techniques to classify multi-rock types in each image; however, the test was performed on artificially overlaid images of different rock types in a test sample and not of naturally occurring rock surfaces of multiple rock types. To the best of our knowledge, no study has applied semantic segmentation to solve the multi-rock classification problem using digital photographs of multiple rock types. This paper presents the application of two state-of-the-art segmentation models, namely U-Net and LinkNet, to identify multiple rock types in digital photographs by segmenting the sandstone, mudstone, and background classes in a self-collected dataset of 102 images from a field in Brunei Darussalam. Four pre-trained networks, including Resnet34, Inceptionv3, VGG16, and Efficientnetb7 were used as a backbone for both models, and the performances of the individual models and their ensembles were compared. We also investigated the impact of image enhancement and different color representations on the performances of these segmentation models. The experiment results of this study show that among the individual models, LinkNet with Efficientnetb7 as a backbone had the best performance with a mean over intersection (MIoU) value of 0.8135 for all of the classes. While the ensemble of U-Net models (with all four backbones) performed slightly better than the LinkNet with Efficientnetb7 did with an MIoU of 0.8201. When different color representations and image enhancements were explored, the best performance (MIoU = 0.8178) was noticed for the L*a*b* color representation with Efficientnetb7 using U-Net segmentation. For the individual classes of interest (sandstone and mudstone), U-Net with Efficientnetb7 was found to be the best model for the segmentation. Thus, this study presents the potential of semantic segmentation in automating the reservoir characterization process whereby we can extract the patches of interest from the rocks for much deeper study and modeling to be conducted.
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Dissertations / Theses on the topic "Photography – Digital techniques – Classification"

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Meintjes, Anthony Arthur. ""From digital to darkroom"." Thesis, Rhodes University, 2001. http://hdl.handle.net/10962/d1007418.

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Wolin, Martin Michael. "Digital high school photography curriculum." CSUSB ScholarWorks, 2003. https://scholarworks.lib.csusb.edu/etd-project/2414.

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The purpose of this thesis is to create a high school digital photography curriculum that is relevant to real world application and would enable high school students to enter the work force with marketable skills or go on to post secondary education with advanced knowledge in the field of digital imaging.
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Suen, Tsz-yin Simon, and 孫子彥. "Curvature domain stitching of digital photographs." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38800901.

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Giloi, Susan Louise. "Effective application of digital printing techniques for fine artists in the South African context." Thesis, Port Elizabeth Technikon, 1999. http://hdl.handle.net/10948/15.

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Carstens, Andries Theunis. "Digitising photographic negatives and prints for preservation." Thesis, Cape Peninsula University of Technology, 2013. http://hdl.handle.net/20.500.11838/1355.

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A DISSERTATION PRESENTED TO THE FACULTY OF INFORMATICS AND DESIGN OF THE CAPE PENINSULA UNIVERSITY OF TECHNOLOGY IN FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MAGISTER TECHNOLOGIAE PHOTOGRAPHY CAPE PENINSULA UNIVERSITY OF TECHNOLOGY 2013
This study deals with the pitfalls and standards associated with the digitisation of photographic artefacts in formal collections. The popularity of the digital medium caused a rapid increase in the demand for converting images into digital files. The need for equipment capable of executing the task successfully, the pressure on collection managers to display their collections to the world and the demand for knowledge needed by managers and operators created pressure to perform optimally and often in great haste. As a result of the rush to create digital image files to be displayed and to be preserved, the decisions that are being made may be questionable. The best choice of file formats for longevity, setting and maintaining standards to guarantee quality digital files and consultation with experts in the field of digitisation as well as attention to best practices are important aspects which must be considered. In order to determine the state of affairs in countries with an advanced knowledge and experience in the field of digitisation, a comprehensive literature study was done. It was found that enough information exists to enable collection managers in South Africa to make well informed decisions to ensure a high quality of digital collection. By means of questionnaires, a survey was undertaken amongst selected Western Cape image preservation institutions to determine the level of knowledge of the managers who are required to make informed decisions. The questionnaire was designed to give insight into choices being made regarding the technical quality, workflow and best practice aspects of digitisation. Comparing the outcome of the questionnaires with best practices and recommended standards in countries with an advanced level of experience it was found that not enough of this experience and knowledge is used by local collection managers although readily available. In some cases standards are disregarded completely. The study also investigated by means of questionnaires the perception of the digital preservation of image files by fulltime photographic students and volunteer members of the Photographic Society of South Africa. It was found that uncertainty exist within both groups with regard to file longevity and access to files in five to ten year's time. Digitisation standards are set and maintained by the use of specially designed targets which enable digitising managers to maintain control over the quality of the digital content as well as monitoring of equipment performance. The use of these targets to set standards were investigated and found to be an accurate and easy method of maintaining control over the standard and quality of digital files. Suppliers of digitising equipment very often market their equipment as being of a high quality and being able to fulfil the required digitisation tasks. Testing selected digitising equipment by means of specially designed targets proved however that potential buyers of equipment in the high cost range should be very cautious about suppliers' claims without proof of performance. Using targets to verify performance should be a routine check before any purchase. The study concludes with recommendations of implementing standards and it points to potential future research.
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Musoke, David. "Digital image processing with the Motorola 56001 digital signal processor." Scholarly Commons, 1992. https://scholarlycommons.pacific.edu/uop_etds/2236.

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This report describes the design and testing of the Image56 system, an IBM-AT based system which consists of an analog video board and a digital board. The former contains all analog and video support circuitry to perform real-time image processing functions. The latter is responsible for performing non real-time, complex image processing tasks using a Motorola DSP56001 digital signal processor. It is supported by eight image data buffers and 512K words of DSP memory (see Appendix A for schematic diagram).
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Santa, Clara Miguel Eduardo. "The application of digital photographic technologies to lighting research." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609406.

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Walton, Shireen Marion. "Camera Iranica : popular digital photography in/of Iran." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:7f6516bf-64c6-4551-b58c-08e42915183f.

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This thesis explores the contemporary genre of popular digital photography, with a specific look at photographs taken in/of Iran. It focuses on the contemporary practice of 'photoblogging' or photography-based weblogging. Photoblogs are the result of the daily posting of digital photographs concerning everyday life in Iran on personal blogs specifically dedicated to photography. The title of the thesis, Camera Iranica, refers to the subject and scope of the study, as well as to its digital-ethnographic field site. I demarcate this as a conceptual and transnational cultural field, encompassing the multitude of places and spaces, on- and offline in which Iranians across the world engage in the practice of producing and viewing popular digital photography. Iranian photoblogs are shown to operate in a manner contingent upon a particular 'visual legacy' of contested cultural identity politics since the Islamic Revolution of 1979, propagated inside Iran and in 'the West'. The thesis traces the social, economic and political implications of developments in photography and digital technologies in Iran in light of this backdrop, and explores how and why Iranians in Iran and abroad are taking up popular digital photography for visual storytelling projects, with 'Iran' as their visual subject. Based on the study's empirical findings, I extrapolate theoretical arguments concerning historical and cultural understandings of digital photographs shown and seen in online environments, and propose innovative methodological strategies for digital-visual anthropologists to continue work in these fields.
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Landry, Brian Michael. "Storytelling for digital photographs supporting the practice, understanding the benefit /." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31805.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2010.
Committee Chair: Guzdial, Mark; Committee Member: Abowd, Gregory; Committee Member: Mynatt, Elizabeth; Committee Member: Smith, Michael; Committee Member: Thomas, John. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Huang, Ben. "Removing Textured Artifacts from Digital Photos Using Spatial Frequency Filtering." PDXScholar, 2010. https://pdxscholar.library.pdx.edu/open_access_etds/148.

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An abstract of the thesis of Ben Huang for the Master of Science in Electric and Computer Science presented [August 12nd, 2010]. Title: Removing textured artifacts from digital photos by using spatial frequency filtering Virtually all image processing is now done with digital images. These images, captured with digital cameras, can be readily processed with various types of editing software to serve a multitude of personal and commercial purposes. But not all images are directly captured and even of those that are directly captured many are not of sufficiently high quality. Digital images are also acquired by scanning old paper images. The result is often a digital image of poor quality. Textured artifacts on some old paper pictures were designed to help protect pictures from discoloration. However, after scanning, these textured artifacts exhibit annoying textured noise in the digital image, highly degrading the visual definition of images on electronic screens. This kind of image noise is academically called global periodic noise. It is in a spurious and repetitive pattern that exists consistently throughout the image. There does not appear to be any commercial graphic software with a tool box to directly resolve this global periodic noise. Even Photoshop, considered to be the most powerful and authoritative graphic software, does not have an effective function to reduce textured noise. This thesis addresses this problem by proposing the use of an alternative graphic filter to what is currently available. To achieve the best image quality in photographic editing, spatial frequency domain filtering is utilized instead of spatial domain filtering. In frequency domain images, the consistent periodicity of the textured noise leads to well defined spikes in the frequency transform of the noisy image. When the noise spikes are at a sufficient distance from the image spectrum, they can be removed by reducing their frequency amplitudes. The filtered spectrum may then yield a noise reduced image through inverse frequency transforming. This thesis proposes a method to reduce periodic noise in the spatial frequency domain; summarizes the difference between DFT and DCT, FFT and fast DCT in image processing applications; uses fast DCT as the frequency transform to solve the problem in order to improve both computational load and filtered image quality; and develops software that can be implemented as a plug in for large graphic software to remove textured artifacts from digital images.
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Books on the topic "Photography – Digital techniques – Classification"

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Hyperspectral imaging: Techniques for spectral detection and classification. New York: Kluwer Academic/Plenum Publishers, 2003.

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Digital photography. Irvington, NY: Hylas Pub., 2004.

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Michael, Wright. Digital photography. New York: Metro Books, 2008.

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Atherton, Nigel. Digital photography. London: Flame Tree, 2011.

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Rudolph, Burger, ed. Digital photography. New York: Random House, 1992.

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Digital photography. Wigston, Leicester: Silverdale Books, 2005.

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Phil, Green, and British Printing Industries Federation, eds. Digital photography. Leatherhead: Pira International, 1999.

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Galer, Mark. Digital Photography. San Diego: Elsevier Science, 2008.

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Digital photography: Expert techniques. Sebastopol, Calif: O'Reilly, 2004.

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com, Youngjin, ed. 40 digital photography techniques. 3rd ed. Seoul: Youngjin.com, 2007.

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Book chapters on the topic "Photography – Digital techniques – Classification"

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Liu, Feng, Yi Li, and Xiaorui Shi. "Basic Techniques of Clinical Photography." In Dental Digital Photography, 79–108. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1622-7_4.

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Richards, John A. "Supervised Classification Techniques." In Remote Sensing Digital Image Analysis, 173–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-662-02462-1_8.

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Richards, John A. "Supervised Classification Techniques." In Remote Sensing Digital Image Analysis, 247–318. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30062-2_8.

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Richards, John A. "Supervised Classification Techniques." In Remote Sensing Digital Image Analysis, 181–227. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-88087-2_8.

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Richards, John A., and Xiuping Jia. "Supervised Classification Techniques." In Remote Sensing Digital Image Analysis, 181–222. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03978-6_8.

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Richards, John A. "Supervised Classification Techniques." In Remote Sensing Digital Image Analysis, 263–367. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-82327-6_8.

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Delp, Edward J. "Forensic Techniques for Image Source Classification: A Comparative Study." In Digital Watermarking, 3. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03688-0_3.

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Abreu, Ana, Diana Ferreira, Cristiana Neto, António Abelha, and José Machado. "Diagnosis of Diabetic Retinopathy Using Data Mining Classification Techniques." In Advances in Digital Science, 198–209. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71782-7_18.

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Shirude, Snehalata B., and Satish R. Kolhe. "Classification of Library Resources in Recommender System Using Machine Learning Techniques." In Social Transformation – Digital Way, 661–73. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1343-1_54.

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Kumar, Akash, Sagnik Bhowmick, N. Jayanthi, and S. Indu. "Improving Landmark Recognition Using Saliency Detection and Feature Classification." In Digital Techniques for Heritage Presentation and Preservation, 157–75. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57907-4_9.

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Conference papers on the topic "Photography – Digital techniques – Classification"

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Chong, Chak Fong, Xu Yang, Wei Ke, and Yapeng Wang. "GAN-based Spatial Transformation Adversarial Method for Disease Classification on CXR Photographs by Smartphones." In 2021 Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2021. http://dx.doi.org/10.1109/dicta52665.2021.9647192.

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Vassilev, Tzvetomir, and Bernhard Spanlang. "Comparison of two colour calibration techniques for digital photography." In the 9th International Conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1500879.1500923.

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Zhen, Hengzhou. "Key Techniques Analysis on Surface Restructuring Based on Diffraction Grating Projection Photography." In 2011 Second International Conference on Digital Manufacturing and Automation (ICDMA). IEEE, 2011. http://dx.doi.org/10.1109/icdma.2011.167.

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Al Khater, Noora, and Richard E. Overill. "Network traffic classification techniques and challenges." In 2015 Tenth International Conference on Digital Information Management (ICDIM). IEEE, 2015. http://dx.doi.org/10.1109/icdim.2015.7381869.

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Andersson, Tobias, and Matthew J. Thurley. "Visibility Classification of Rocks in Piles." In 2008 Digital Image Computing: Techniques and Applications. IEEE, 2008. http://dx.doi.org/10.1109/dicta.2008.85.

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Arafat, Syed Yasser, Muhammad Inzimam Saghir, Mubah Ishtiaq, and Umer Bashir. "Comparison of techniques for leaf classification." In 2016 Sixth International Conference on Digital Information and Communication Technology and its Applications (DICTAP). IEEE, 2016. http://dx.doi.org/10.1109/dictap.2016.7544015.

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Rafiee, Azarakhsh, and M. R. Sarajian. "Classification of Buildings and Roads Using Support Vector Machine." In 2008 Digital Image Computing: Techniques and Applications. IEEE, 2008. http://dx.doi.org/10.1109/dicta.2008.57.

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Wang, Jing, and Jun Zhou. "Band Weighting Network for Hyperspectral Image Classification." In 2018 Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2018. http://dx.doi.org/10.1109/dicta.2018.8615876.

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Al-Shargabi, Bassam, and Fekry Olayah. "An experimental study for Arabic text classification techniques." In Fourth International Conference on Digital Image Processing (ICDIP 2012), edited by Mohamed Othman, Sukumar Senthilkumar, and Xie Yi. SPIE, 2012. http://dx.doi.org/10.1117/12.946039.

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Ulyanov, Alexander S. "Digital techniques of classification of malignant and nonmalignant growths." In Photonics and Optoelectronics Meetings, edited by Qingming Luo, Lihong V. Wang, and Valery V. Tuchin. SPIE, 2008. http://dx.doi.org/10.1117/12.823319.

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Reports on the topic "Photography – Digital techniques – Classification"

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Onikzeh, Parinaz, Afshin Heidari, Aida Kazemi, Parisa Najjariasl, Kamran Dalvandi, Hamidreza Sadeghsalehi, and Hadi Zamanian. 3D photography versus digital planimetry in wound measurement : a systematic review protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2021. http://dx.doi.org/10.37766/inplasy2021.10.0069.

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Review question / Objective: The aim of this study is to find whether there is concordance between two methods of wound area measurement: 3D photography and digital planimetry. Condition being studied: One of the most important factors in all types of wound management is wound measurement and two new digital techniques are : digital planimetry and 3D-photography. Eligibility criteria: the articles will be included only if the study cases would be measured by both methods of wound measurement including 3D photography and digital planimetry. patients with wound in any area of their body like diabetic ulcers, venous ulcers or burning. not models or animals.not bite or scar or bruising. without any restriction in age or gender.
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Tabinskyy, Yaroslav. VISUAL CONCEPTS OF PHOTO IN THE MEDIA (ON THE EXAMPLE OF «UKRAINER» AND «REPORTERS»). Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11099.

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The article is devoted to the analysis of the main forms of visualization in the media related to photo. The thematic visual concepts are described in accordance with the content of electronic media, which consider the impact of modern technologies on the development of media space. The researches of the Ukrainian and foreign educational institutions concerning the main features of modern photo is classificate. Modifications and new visual forms in the media are singled out. The main objective of the article is to study the visual concepts of modern photo and identify ideological and thematic priorities in photo projects. To achieve the main objective in the article a certain methodology were used. Due to the historical-theoretical description it was possible to substantiate the study of visual concepts. The conceptual-system method was used to study the subject of media photo projects. The main results of the research are the definition of visual concepts of photo on the example of electronic media and the identification of the main thematic features in the process of visual filling of the media space. Based on the study, we can conclude that today the information field needs quality visual content. For successful creation of visual concepts it is necessary to single out thematic features of modern photo and to carry out classifications on ideological and semantic signs. Given the rapid development of digital technologies, the topic of the scientific article we offer is relevant for scientists, journalists, media researchers, visual journalism experts and photojournalists. Modern space is filled with a large number of pictorial materials, which in most cases form specific images, patterns or stereotypes in the mind of the reader (viewer). Also important is the classification of photo used in journalistic publications. That is why there is a need to explore the content and principles of distribution of ideological priorities of photo in the media. The substantiation of scientists about the important place of photography in the modern media space and the future development of visual technologies, which already use artificial intelligence, is relevant.
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