Literatura académica sobre el tema "IMAGE PATCHING"
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Artículos de revistas sobre el tema "IMAGE PATCHING"
Tsai, Yi-Chang (James), Yi-Ching Wu y Geoffrey Price. "A Cost-Effective and Objective Full-Depth Patching Identification Method using 3D Sensing Technology with Automated Crack Detection and Classification". Transportation Research Record: Journal of the Transportation Research Board 2672, n.º 40 (29 de noviembre de 2018): 50–58. http://dx.doi.org/10.1177/0361198118798474.
Texto completoZhong, Haidong, Xianyi Chen y Qinglong Tian. "An Improved Reversible Image Transformation Using K-Means Clustering and Block Patching". Information 10, n.º 1 (5 de enero de 2019): 17. http://dx.doi.org/10.3390/info10010017.
Texto completoGong, Yan. "Panoramic Image Patching Algorithm Based on Global Optimization". Journal of Information and Computational Science 12, n.º 14 (20 de septiembre de 2015): 5523–30. http://dx.doi.org/10.12733/jics20150019.
Texto completoCelaya-Padilla, Jose M., Carlos E. Galvan T, J. Ruben Delgado C, Issac Galvan-Tejada y Ernesto Ivan Sandoval. "Multi-seed texture synthesis to fast image patching". Procedia Engineering 35 (2012): 210–16. http://dx.doi.org/10.1016/j.proeng.2012.04.182.
Texto completoTotsuka, Satoru, Tomoya Handa, Hitoshi Ishikawa y Nobuyuki Shoji. "Improvement of Adherence with Occlu-Pad Therapy for Pediatric Patients with Amblyopia". BioMed Research International 2018 (22 de noviembre de 2018): 1–5. http://dx.doi.org/10.1155/2018/2394562.
Texto completoDan, Han-Cheng, Hao-Fan Zeng, Zhi-Heng Zhu, Ge-Wen Bai y Wei Cao. "Methodology for Interactive Labeling of Patched Asphalt Pavement Images Based on U-Net Convolutional Neural Network". Sustainability 14, n.º 2 (12 de enero de 2022): 861. http://dx.doi.org/10.3390/su14020861.
Texto completoTOKUDA, Kenichi, Tetsuya KINUGASA, Ryota HAYASHI, Takafumi HAJI y Hisanori AMANO. "Shredded Image Patching of Inner Crawler Cameras for Disaster Robot". Proceedings of Mechanical Engineering Congress, Japan 2016 (2016): G1500504. http://dx.doi.org/10.1299/jsmemecj.2016.g1500504.
Texto completoTakahashi, Ryo, Takashi Matsubara y Kuniaki Uehara. "Data Augmentation Using Random Image Cropping and Patching for Deep CNNs". IEEE Transactions on Circuits and Systems for Video Technology 30, n.º 9 (septiembre de 2020): 2917–31. http://dx.doi.org/10.1109/tcsvt.2019.2935128.
Texto completoMaeda, Keisuke, Saya Takada, Tomoki Haruyama, Ren Togo, Takahiro Ogawa y Miki Haseyama. "Distress Detection in Subway Tunnel Images via Data Augmentation Based on Selective Image Cropping and Patching". Sensors 22, n.º 22 (18 de noviembre de 2022): 8932. http://dx.doi.org/10.3390/s22228932.
Texto completoWANG, DACHENG y SARGUR N. SRIHARI. "ANALYSIS OF FORM IMAGES". International Journal of Pattern Recognition and Artificial Intelligence 08, n.º 05 (octubre de 1994): 1031–52. http://dx.doi.org/10.1142/s0218001494000528.
Texto completoTesis sobre el tema "IMAGE PATCHING"
Hintze, Ryan Sears. "Shadow Patching: Exemplar-Based Shadow Removal". BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6664.
Texto completoLin, Yung-Hsiang y 林詠翔. "Patching Image Using Genetic Algorithms". Thesis, 2008. http://ndltd.ncl.edu.tw/handle/63269037506952820457.
Texto completo淡江大學
資訊管理學系碩士班
96
In many areas of computer applications, such as MultiMedia Systems and Image Information Systems , image data is always huge and complicated. However, it includes some information which is not important. In fact, we are only interested in the information of importance. In this paper, we use the genetic algorithm to find a set of patches to represent and index the important part of an image. By using the set of patches to represent the image, the storage required can be reduced and the efficiency of processing can be increased.
JieLin y 林. 倢. "Automated Detection and Patching of Erroneous Areas in Shadow Moiré Phase-Shifting Images and System Calibration under Heating Condition". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/yrwy75.
Texto completo國立成功大學
機械工程學系碩博士班
101
Grinding wheel surface has artificial diamonds and the printed circuit board contains many reflective spots and cavities on the surface. When using the shadow moiré system to measure the 3D surface profile of grinding wheel and printed circuit board, these diamonds, reflective spots and cavities lead to wrong gray level on phase-shifting patterns and result in error. When measuring specimen by shadow moiré system under heating condition, the system will produce unpredictable changes because of thermal expansion and cause measurement error. In this paper, using edge detection for averaged image of the four fringe patterns and setting thresholds to distinguish erroneous areas in phase-shifting images. The structure element size of proper-opening and proper-closing to automate detection and patching of erroneous areas in phase-shifting Images is decided by the maximum erroneous area of bounding rectangle width and height. The error of unwrapping phase could be eliminated by using 3x3 median filter in phase-shifting patterns or wrapping phase and make it successfully. To get error of measured value and standard value in different temperature, calibration plate is measured. In this paper, using one order least squares method and cubic spline method to fit error of measured value and standard value to establish program of shadow moiré system calibration under heating condition. By testing, the error using cubic spline is smaller than using one order least squares.
Capítulos de libros sobre el tema "IMAGE PATCHING"
Singh, Amanpreet y Sharan Agrawal. "CanvasGAN: A Simple Baseline for Text to Image Generation by Incrementally Patching a Canvas". En Advances in Intelligent Systems and Computing, 86–98. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17795-9_7.
Texto completoBritton, Ren Loren y Isabel Paehr. "What is it, I do(n't) not know? I (we) do not know (but will feel) the name". En Doing Research - Wissenschaftspraktiken zwischen Positionierung und Suchanfrage, 288–95. Bielefeld, Germany: transcript Verlag, 2022. http://dx.doi.org/10.14361/9783839456323-035.
Texto completoActas de conferencias sobre el tema "IMAGE PATCHING"
Johnston, R. A. y N. B. Price. "RBF patching of laser scanner data". En 2008 23rd International Conference Image and Vision Computing New Zealand (IVCNZ). IEEE, 2008. http://dx.doi.org/10.1109/ivcnz.2008.4762077.
Texto completoHintze, Ryan y Bryan Morse. "Shadow Patching: Guided Image Completion for Shadow Removal". En 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2019. http://dx.doi.org/10.1109/wacv.2019.00217.
Texto completoParihar, Anil Singh. "Object tracking based hybrid context and image patching models". En 2017 International Conference on Inventive Computing and Informatics (ICICI). IEEE, 2017. http://dx.doi.org/10.1109/icici.2017.8365392.
Texto completoZhang, Huimin, Hanyu Hong, Xiuhua Zhang y Jiuyang Yu. "Extraction algorithm of pavement breakage information based on patching feature". En Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, editado por Tianxu Zhang, Bruce Hirsch, Zhiguo Cao y Hanqing Lu. SPIE, 2009. http://dx.doi.org/10.1117/12.833150.
Texto completoHu, Xin, Xinyu Wang, Yanfei Zhong, Ji Zhao, Chang Luo y Lifei Wei. "SPNet: A Spectral Patching Network for End-To-End Hyperspectral Image Classification". En IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019. http://dx.doi.org/10.1109/igarss.2019.8897843.
Texto completoFeng, Yong, Jian Liu, Hongyan Xu y Ye Yuan. "Hole patching strategy with the least mobile nodes in wireless sensor network of agriculture". En Third International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013), editado por Honghua Tan. SPIE, 2013. http://dx.doi.org/10.1117/12.2020128.
Texto completoYang, Shaopeng, Weiyu Guo y Yuheng Ren. "CrowdFormer: An Overlap Patching Vision Transformer for Top-Down Crowd Counting". En Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/215.
Texto completoTOKUDA, K., J. NAGAISHI, T. KINUGASA, T. HAJI y H. AMANO. "SHREDDED IMAGE PATCHING BY USING PAST FRAMES OF INNER CRAWLER CAMERAS FOR FLEXIBLE MONO-TREAD MOBILE TRACK". En CLAWAR 2017: 20th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines. WORLD SCIENTIFIC, 2017. http://dx.doi.org/10.1142/9789813231047_0063.
Texto completoMermet, Alexis, Asanobu Kitamoto, Chikahiko Suzuki y Akira Takagishi. "Face Detection on Pre-modern Japanese Artworks using R-CNN and Image Patching for Semi-Automatic Annotation". En MM '20: The 28th ACM International Conference on Multimedia. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3423323.3423412.
Texto completoHuang, Po-Whei, Cheng-I. Chen, Ping Chen, Phen-Lan Lin y Li-Pin Hsu. "PET and MRI brain image fusion using wavelet transform with structural information adjustment and spectral information patching". En 2014 International Symposium on Bioelectronics and Bioinformatics (ISBB). IEEE, 2014. http://dx.doi.org/10.1109/isbb.2014.6820901.
Texto completoInformes sobre el tema "IMAGE PATCHING"
Cheng, Peng, James V. Krogmeier, Mark R. Bell, Joshua Li y Guangwei Yang. Detection and Classification of Concrete Patches by Integrating GPR and Surface Imaging. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317320.
Texto completoCheng, Peng, James V. Krogmeier, Mark R. Bell, Joshua Li y Guangwei Yang. Detection and Classification of Concrete Patches by Integrating GPR and Surface Imaging. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317320.
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