Texture and Colour in Image Analysis
Research in colour and texture has experienced major changes in the last few years. This book presents some recent advances in the field, specifically in the theory and applications of colour texture analysis. This volume also features benchmarks, comparative evaluations and reviews.
সংরক্ষণ করুন:
| বিন্যাস: | Online |
|---|---|
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | ONIX_20220111_9783036513782_764 |
| ট্যাগগুলো: |
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
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| _version_ | 1869526356737392640 |
|---|---|
| collection | Directory of Open Access Books |
| description | Research in colour and texture has experienced major changes in the last few years. This book presents some recent advances in the field, specifically in the theory and applications of colour texture analysis. This volume also features benchmarks, comparative evaluations and reviews. |
| format | Online |
| id | doab-20.500.12854ir-76932 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-769322024-03-30T12:51:13Z Texture and Colour in Image Analysis Bianconi, Francesco Fernández, Antonio Sánchez-Yáñez, Raúl E. Machine vision image analysis item counting device electro-deposition industry digital intraoral radiography image preprocessing periapical lesions texture analysis prostate cancer histopathology microscopic tissue image segmentation morphological quantitative classification SVM image resizing local Tchebichef moments (LTM) scaling scale-and-stretch seam carving faster R-CNN cutting pieces multi-period pattern skew angle period length colored texture pattern classification global–local texture classification color–texture features color–texture feature extraction bagging post-processing BQMP and Haralick global–local feature integration maceral components image segmentation coal petrography random forest two-level clustering deep neural networks adaptive gradient methods stochastic gradient descent bounded scheduling method image classification language modeling texture deep learning MB-LBP surface defect detection feature extraction defect recognition mammogram meta-heuristics optimization breast cancer detection skin microrelief water sorption aging hair mathematics of colour and texture hand-designed image descriptors rank features partial orders river scene segmentation local binary pattern hue variance surface reflection audio classification dissimilarity space siamese network ensemble of classifiers pattern recognition animal audio co-saliency omnidirectional images video saliency visual saliency estimation n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Research in colour and texture has experienced major changes in the last few years. This book presents some recent advances in the field, specifically in the theory and applications of colour texture analysis. This volume also features benchmarks, comparative evaluations and reviews. 2022-01-11T13:46:54Z 2022-01-11T13:46:54Z 2021 book ONIX_20220111_9783036513782_764 9783036513782 9783036513775 https://directory.doabooks.org/handle/20.500.12854/76932 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4523 https://mdpi.com/books/pdfview/book/4523 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-1377-5 10.3390/books978-3-0365-1377-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036513782 9783036513775 278 Basel, Switzerland open access |
| spellingShingle | Machine vision image analysis item counting device electro-deposition industry digital intraoral radiography image preprocessing periapical lesions texture analysis prostate cancer histopathology microscopic tissue image segmentation morphological quantitative classification SVM image resizing local Tchebichef moments (LTM) scaling scale-and-stretch seam carving faster R-CNN cutting pieces multi-period pattern skew angle period length colored texture pattern classification global–local texture classification color–texture features color–texture feature extraction bagging post-processing BQMP and Haralick global–local feature integration maceral components image segmentation coal petrography random forest two-level clustering deep neural networks adaptive gradient methods stochastic gradient descent bounded scheduling method image classification language modeling texture deep learning MB-LBP surface defect detection feature extraction defect recognition mammogram meta-heuristics optimization breast cancer detection skin microrelief water sorption aging hair mathematics of colour and texture hand-designed image descriptors rank features partial orders river scene segmentation local binary pattern hue variance surface reflection audio classification dissimilarity space siamese network ensemble of classifiers pattern recognition animal audio co-saliency omnidirectional images video saliency visual saliency estimation n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Texture and Colour in Image Analysis |
| title | Texture and Colour in Image Analysis |
| title_full | Texture and Colour in Image Analysis |
| title_fullStr | Texture and Colour in Image Analysis |
| title_full_unstemmed | Texture and Colour in Image Analysis |
| title_short | Texture and Colour in Image Analysis |
| title_sort | texture and colour in image analysis |
| topic | Machine vision image analysis item counting device electro-deposition industry digital intraoral radiography image preprocessing periapical lesions texture analysis prostate cancer histopathology microscopic tissue image segmentation morphological quantitative classification SVM image resizing local Tchebichef moments (LTM) scaling scale-and-stretch seam carving faster R-CNN cutting pieces multi-period pattern skew angle period length colored texture pattern classification global–local texture classification color–texture features color–texture feature extraction bagging post-processing BQMP and Haralick global–local feature integration maceral components image segmentation coal petrography random forest two-level clustering deep neural networks adaptive gradient methods stochastic gradient descent bounded scheduling method image classification language modeling texture deep learning MB-LBP surface defect detection feature extraction defect recognition mammogram meta-heuristics optimization breast cancer detection skin microrelief water sorption aging hair mathematics of colour and texture hand-designed image descriptors rank features partial orders river scene segmentation local binary pattern hue variance surface reflection audio classification dissimilarity space siamese network ensemble of classifiers pattern recognition animal audio co-saliency omnidirectional images video saliency visual saliency estimation n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | Machine vision image analysis item counting device electro-deposition industry digital intraoral radiography image preprocessing periapical lesions texture analysis prostate cancer histopathology microscopic tissue image segmentation morphological quantitative classification SVM image resizing local Tchebichef moments (LTM) scaling scale-and-stretch seam carving faster R-CNN cutting pieces multi-period pattern skew angle period length colored texture pattern classification global–local texture classification color–texture features color–texture feature extraction bagging post-processing BQMP and Haralick global–local feature integration maceral components image segmentation coal petrography random forest two-level clustering deep neural networks adaptive gradient methods stochastic gradient descent bounded scheduling method image classification language modeling texture deep learning MB-LBP surface defect detection feature extraction defect recognition mammogram meta-heuristics optimization breast cancer detection skin microrelief water sorption aging hair mathematics of colour and texture hand-designed image descriptors rank features partial orders river scene segmentation local binary pattern hue variance surface reflection audio classification dissimilarity space siamese network ensemble of classifiers pattern recognition animal audio co-saliency omnidirectional images video saliency visual saliency estimation n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20220111_9783036513782_764 |