Artigos de revistas sobre o tema "Classification/segmentation"
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Levner, Ilya, e Hong Zhang. "Classification-Driven Watershed Segmentation". IEEE Transactions on Image Processing 16, n.º 5 (maio de 2007): 1437–45. http://dx.doi.org/10.1109/tip.2007.894239.
Texto completo da fontePavlidis, Theo, e Jiangying Zhou. "Page segmentation and classification". CVGIP: Graphical Models and Image Processing 54, n.º 6 (novembro de 1992): 484–96. http://dx.doi.org/10.1016/1049-9652(92)90068-9.
Texto completo da fonteKhanykov, I. G. "Classification of image segmentation algorithms". Izvestiâ vysših učebnyh zavedenij. Priborostroenie 61, n.º 11 (30 de novembro de 2018): 978–87. http://dx.doi.org/10.17586/0021-3454-2018-61-11-978-987.
Texto completo da fonteWang, Ying, Jie Su, Qiuyu Xu e Yixin Zhong. "A Collaborative Learning Model for Skin Lesion Segmentation and Classification". Diagnostics 13, n.º 5 (28 de fevereiro de 2023): 912. http://dx.doi.org/10.3390/diagnostics13050912.
Texto completo da fonteSekhar, Mr Ch, Ms A. Sharmila, Mr Ch Narayana, Mr A. Rutwick, Mr B. Srinu, Mr D. Pramod Kumar e Mr B. Snehith. "Osteoporosis Diagnosis through Visual Segmentation and Classification: Extensive Review". International Journal of Research Publication and Reviews 5, n.º 3 (9 de março de 2024): 3748–53. http://dx.doi.org/10.55248/gengpi.5.0324.0771.
Texto completo da fonteHyun-Cheol Park, Hyun-Cheol Park, Raman Ghimire Hyun-Cheol Park, Sahadev Poudel Raman Ghimire e Sang-Woong Lee Sahadev Poudel. "Deep Learning for Joint Classification and Segmentation of Histopathology Image". 網際網路技術學刊 23, n.º 4 (julho de 2022): 903–10. http://dx.doi.org/10.53106/160792642022072304025.
Texto completo da fontePandeya, Yagya Raj, Bhuwan Bhattarai e Joonwhoan Lee. "Tracking the Rhythm: Pansori Rhythm Segmentation and Classification Methods and Datasets". Applied Sciences 12, n.º 19 (23 de setembro de 2022): 9571. http://dx.doi.org/10.3390/app12199571.
Texto completo da fonteVohra, Sumit K., e Dimiter Prodanov. "The Active Segmentation Platform for Microscopic Image Classification and Segmentation". Brain Sciences 11, n.º 12 (14 de dezembro de 2021): 1645. http://dx.doi.org/10.3390/brainsci11121645.
Texto completo da fonteAbbas, Khamael, e Mustafa Rydh. "Satellite Image Classification and Segmentation by Using JSEG Segmentation Algorithm". International Journal of Image, Graphics and Signal Processing 4, n.º 10 (17 de setembro de 2012): 48–53. http://dx.doi.org/10.5815/ijigsp.2012.10.07.
Texto completo da fonteMittal, Praveen, e Charul Bhatnagar. "Detection of DME by Classification and Segmentation Using OCT Images". Webology 19, n.º 1 (20 de janeiro de 2022): 601–12. http://dx.doi.org/10.14704/web/v19i1/web19043.
Texto completo da fonteHuang, J., L. Xie, W. Wang, X. Li e R. Guo. "A MULTI-SCALE POINT CLOUDS SEGMENTATION METHOD FOR URBAN SCENE CLASSIFICATION USING REGION GROWING BASED ON MULTI-RESOLUTION SUPERVOXELS WITH ROBUST NEIGHBORHOOD". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B5-2022 (2 de junho de 2022): 79–86. http://dx.doi.org/10.5194/isprs-archives-xliii-b5-2022-79-2022.
Texto completo da fonteHao, Shuang, Yuhuan Cui e Jie Wang. "Segmentation Scale Effect Analysis in the Object-Oriented Method of High-Spatial-Resolution Image Classification". Sensors 21, n.º 23 (28 de novembro de 2021): 7935. http://dx.doi.org/10.3390/s21237935.
Texto completo da fonteHu, Yuan Chun, Jian Sun e Wei Liu. "Classification-Based Character Segmentation of Image". Applied Mechanics and Materials 519-520 (fevereiro de 2014): 572–76. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.572.
Texto completo da fonteKhan, Khalil, Muhammad Attique, Ikram Syed e Asma Gul. "Automatic Gender Classification through Face Segmentation". Symmetry 11, n.º 6 (6 de junho de 2019): 770. http://dx.doi.org/10.3390/sym11060770.
Texto completo da fonteCorreia, P. L., e F. Pereira. "Classification of Video Segmentation Application Scenarios". IEEE Transactions on Circuits and Systems for Video Technology 14, n.º 5 (maio de 2004): 735–41. http://dx.doi.org/10.1109/tcsvt.2004.826778.
Texto completo da fonteCooper, M., T. Liu e E. Rieffel. "Video Segmentation via Temporal Pattern Classification". IEEE Transactions on Multimedia 9, n.º 3 (abril de 2007): 610–18. http://dx.doi.org/10.1109/tmm.2006.888015.
Texto completo da fonteJoy, Neenu. "Various OCT Segmentation and Classification Techniques". International Journal of Information Systems and Computer Sciences 9, n.º 3 (25 de junho de 2020): 31–37. http://dx.doi.org/10.30534/ijiscs/2020/05932020.
Texto completo da fonteAgostini, Valentina, Gabriella Balestra e Marco Knaflitz. "Segmentation and Classification of Gait Cycles". IEEE Transactions on Neural Systems and Rehabilitation Engineering 22, n.º 5 (setembro de 2014): 946–52. http://dx.doi.org/10.1109/tnsre.2013.2291907.
Texto completo da fonteHoffman, Richard, e Anil K. Jain. "Segmentation and Classification of Range Images". IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-9, n.º 5 (setembro de 1987): 608–20. http://dx.doi.org/10.1109/tpami.1987.4767955.
Texto completo da fonteSaifullah, Y., e M. T. Manry. "Classification-based segmentation of ZIP codes". IEEE Transactions on Systems, Man, and Cybernetics 23, n.º 5 (1993): 1437–43. http://dx.doi.org/10.1109/21.260675.
Texto completo da fonteBorshukov, G. D., G. Bozdagi, Y. Altunbasak e A. M. Tekalp. "Motion segmentation by multistage affine classification". IEEE Transactions on Image Processing 6, n.º 11 (novembro de 1997): 1591–94. http://dx.doi.org/10.1109/83.641420.
Texto completo da fonteDikshit, Onkar, e Vinay Behl. "Segmentation-assisted classification for IKONOS imagery". Journal of the Indian Society of Remote Sensing 37, n.º 4 (dezembro de 2009): 551–64. http://dx.doi.org/10.1007/s12524-009-0055-1.
Texto completo da fontePraveena, S., e S. P. Singh. "Segmentation and Classification of Satellite images". World Academics Journal of Engineering Sciences 01, n.º 01 (2014): 1006. http://dx.doi.org/10.15449/wjes.2014.1006.
Texto completo da fonteDam, E. B., e M. Loog. "Efficient Segmentation by Sparse Pixel Classification". IEEE Transactions on Medical Imaging 27, n.º 10 (outubro de 2008): 1525–34. http://dx.doi.org/10.1109/tmi.2008.923961.
Texto completo da fonteShih, F. Y., e Shy-Shyan Chen. "Adaptive document block segmentation and classification". IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 26, n.º 5 (1996): 797–802. http://dx.doi.org/10.1109/3477.537322.
Texto completo da fonteCesario, Eugenio, Francesco Folino, Antonio Locane, Giuseppe Manco e Riccardo Ortale. "Boosting text segmentation via progressive classification". Knowledge and Information Systems 15, n.º 3 (22 de junho de 2007): 285–320. http://dx.doi.org/10.1007/s10115-007-0085-3.
Texto completo da fonteChoi, Hyun-Tae, e Byung-Woo Hong. "Unsupervised Object Segmentation Based on Bi-Partitioning Image Model Integrated with Classification". Electronics 10, n.º 18 (18 de setembro de 2021): 2296. http://dx.doi.org/10.3390/electronics10182296.
Texto completo da fonteSun, Jingliang. "Application of Image Segmentation Algorithm Based on Partial Differential Equation in Legal Case Text Classification". Advances in Mathematical Physics 2021 (8 de outubro de 2021): 1–9. http://dx.doi.org/10.1155/2021/4062200.
Texto completo da fonteJemimma, T., e Y. Jacob Vetharaj. "A Survey on Brain Tumor Segmentation and Classification". International Journal of Software Innovation 10, n.º 1 (1 de janeiro de 2022): 1–21. http://dx.doi.org/10.4018/ijsi.309721.
Texto completo da fonteZhang, Xiaohua, Hui Wang, Wenxiang Xue, Chaoyun Qin, Yuping Wu, Shuyuan Wang e Peng Qiu. "Research on classification method based on multi-scale segmentation and hierarchical classification". Journal of Physics: Conference Series 2189, n.º 1 (1 de fevereiro de 2022): 012029. http://dx.doi.org/10.1088/1742-6596/2189/1/012029.
Texto completo da fonteHasanpour Zaryabi, E., M. Saadatseresht e E. Ghanbari Parmehr. "AN OBJECT-BASED CLASSIFICATION FRAMEWORK FOR ALS POINT CLOUD IN URBAN AREAS". ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W1-2022 (13 de janeiro de 2023): 279–86. http://dx.doi.org/10.5194/isprs-annals-x-4-w1-2022-279-2023.
Texto completo da fonteSalman Al-Shaikhli, Saif Dawood, Michael Ying Yang e Bodo Rosenhahn. "Brain tumor classification and segmentation using sparse coding and dictionary learning". Biomedical Engineering / Biomedizinische Technik 61, n.º 4 (1 de agosto de 2016): 413–29. http://dx.doi.org/10.1515/bmt-2015-0071.
Texto completo da fonteHaq, Ejaz Ul, Huang Jianjun, Xu Huarong, Kang Li e Lifen Weng. "A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI". Computational and Mathematical Methods in Medicine 2022 (8 de agosto de 2022): 1–18. http://dx.doi.org/10.1155/2022/6446680.
Texto completo da fonteSun, Xiaodan, e Xiaofang Sun. "A Pixel Texture Index Algorithm and Its Application". Photogrammetric Engineering & Remote Sensing 90, n.º 5 (1 de maio de 2024): 277–92. http://dx.doi.org/10.14358/pers.23-00051r2.
Texto completo da fontePintelas, Emmanuel, e Ioannis E. Livieris. "XSC—An eXplainable Image Segmentation and Classification Framework: A Case Study on Skin Cancer". Electronics 12, n.º 17 (22 de agosto de 2023): 3551. http://dx.doi.org/10.3390/electronics12173551.
Texto completo da fonteQiao, Y., T. Chen, J. He, Q. Wen, F. Liu e Z. Wang. "METHOD OF GRASSLAND INFORMATION EXTRACTION BASED ON MULTI-LEVEL SEGMENTATION AND CART MODEL". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (30 de abril de 2018): 1415–20. http://dx.doi.org/10.5194/isprs-archives-xlii-3-1415-2018.
Texto completo da fonteKp, Mamatha, e H. N. Suma. "DIAGNOSIS AND CLASSIFICATION OF DEMENTIA USING MRI IMAGES". International Journal of Research -GRANTHAALAYAH 5, n.º 4RACSIT (30 de abril de 2017): 30–37. http://dx.doi.org/10.29121/granthaalayah.v5.i4racsit.2017.3345.
Texto completo da fonteAlberto, R. T., S. C. Serrano, G. B. Damian, E. E. Camaso, A. B. Celestino, P. J. C. Hernando, M. F. Isip, K. M. Orge, M. J. C. Quinto e R. C. Tagaca. "OBJECT BASED AGRICULTURAL LAND COVER CLASSIFICATION MAP OF SHADOWED AREAS FROM AERIAL IMAGE AND LIDAR DATA USING SUPPORT VECTOR MACHINE". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-7 (7 de junho de 2016): 45–50. http://dx.doi.org/10.5194/isprsannals-iii-7-45-2016.
Texto completo da fonteAlberto, R. T., S. C. Serrano, G. B. Damian, E. E. Camaso, A. B. Celestino, P. J. C. Hernando, M. F. Isip, K. M. Orge, M. J. C. Quinto e R. C. Tagaca. "OBJECT BASED AGRICULTURAL LAND COVER CLASSIFICATION MAP OF SHADOWED AREAS FROM AERIAL IMAGE AND LIDAR DATA USING SUPPORT VECTOR MACHINE". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-7 (7 de junho de 2016): 45–50. http://dx.doi.org/10.5194/isprs-annals-iii-7-45-2016.
Texto completo da fonteRahman, Fathur, Nuzul Hikmah e Misdiyanto Misdiyanto. "Analysis Influence Segmentation Image on Classification Image X-raylungs with Method Convolutional Neural". Journal of Informatics Development 2, n.º 1 (30 de outubro de 2023): 23–29. http://dx.doi.org/10.30741/jid.v2i1.1159.
Texto completo da fonteA., Afreen Habiba. "Diagnosis of Brain Tumor using Semantic Segmentation and Advance-CNN Classification". International Journal of Psychosocial Rehabilitation 24, n.º 5 (31 de março de 2020): 1204–24. http://dx.doi.org/10.37200/ijpr/v24i5/pr201795.
Texto completo da fonteDutta, Saibal, Sujoy Bhattacharya e Kalyan Kumar Guin. "Segmentation and Classification of Indian Domestic Tourists : A Tourism Stakeholder Perspective". Journal of Management and Training for Industries 4, n.º 1 (1 de abril de 2017): 1–24. http://dx.doi.org/10.12792/jmti.4.1.1.
Texto completo da fonteLacerda, M. G., E. H. Shiguemori, A. J. Damião, C. S. Anjos e M. Habermann. "IMPACT OF SEGMENTATION PARAMETERS ON THE CLASSIFICATION OF VHR IMAGES ACQUIRED BY RPAS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W12-2020 (4 de novembro de 2020): 43–48. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w12-2020-43-2020.
Texto completo da fonteLee, Jiann-Shu, e Wen-Kai Wu. "Breast Tumor Tissue Image Classification Using DIU-Net". Sensors 22, n.º 24 (14 de dezembro de 2022): 9838. http://dx.doi.org/10.3390/s22249838.
Texto completo da fonteKhoiro, M., R. A. Firdaus, E. Suaebah, M. Yantidewi e Dzulkiflih. "Segmentation Effect on Lungs X-Ray Image Classification Using Convolution Neural Network". Journal of Physics: Conference Series 2392, n.º 1 (1 de dezembro de 2022): 012024. http://dx.doi.org/10.1088/1742-6596/2392/1/012024.
Texto completo da fonteAlam, Minhaj, Emma J. Zhao, Carson K. Lam e Daniel L. Rubin. "Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy". Journal of Clinical Medicine 12, n.º 1 (3 de janeiro de 2023): 385. http://dx.doi.org/10.3390/jcm12010385.
Texto completo da fonteRathna Priya, T. S., e Annamalai Manickavasagan. "Evaluation of segmentation methods for RGB colour image-based detection of Fusarium infection in corn grains using support vector machine (SVM) and pre-trained convolution neural network (CNN)". Canadian Biosystems Engineering 64, n.º 1 (31 de dezembro de 2022): 7.09–7.20. http://dx.doi.org/10.7451/cbe.2022.64.7.9.
Texto completo da fonteShala, Vegim, e Eliot Bytyçi. "Neural Network Image Segmentation for Sign Language Interpretation". International Journal of Emerging Technology and Advanced Engineering 13, n.º 3 (1 de março de 2023): 111–16. http://dx.doi.org/10.46338/ijetae0323_11.
Texto completo da fonteLatif, Ghazanfar. "DeepTumor: Framework for Brain MR Image Classification, Segmentation and Tumor Detection". Diagnostics 12, n.º 11 (21 de novembro de 2022): 2888. http://dx.doi.org/10.3390/diagnostics12112888.
Texto completo da fonteGinley, Brandon, Brendon Lutnick, Kuang-Yu Jen, Agnes B. Fogo, Sanjay Jain, Avi Rosenberg, Vighnesh Walavalkar et al. "Computational Segmentation and Classification of Diabetic Glomerulosclerosis". Journal of the American Society of Nephrology 30, n.º 10 (5 de setembro de 2019): 1953–67. http://dx.doi.org/10.1681/asn.2018121259.
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