TY - BOOK ID - 146026528 TI - Texture and Colour in Image Analysis AU - Bianconi, Francesco AU - Fernández, Antonio AU - Sánchez-Yáñez, Raúl E. PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Information technology industries KW - Machine vision KW - image analysis KW - item counting device KW - electro-deposition industry KW - digital intraoral radiography KW - image preprocessing KW - periapical lesions KW - texture analysis KW - prostate cancer KW - histopathology KW - microscopic KW - tissue image KW - segmentation KW - morphological KW - quantitative KW - classification KW - SVM KW - image resizing KW - local Tchebichef moments (LTM) KW - scaling KW - scale-and-stretch KW - seam carving KW - faster R-CNN KW - cutting pieces KW - multi-period pattern KW - skew angle KW - period length KW - colored texture pattern classification KW - global-local texture classification KW - color-texture features KW - color-texture feature extraction KW - bagging post-processing KW - BQMP and Haralick global-local feature integration KW - maceral components KW - image segmentation KW - coal petrography KW - random forest KW - two-level clustering KW - deep neural networks KW - adaptive gradient methods KW - stochastic gradient descent KW - bounded scheduling method KW - image classification KW - language modeling KW - texture KW - deep learning KW - MB-LBP KW - surface defect detection KW - feature extraction KW - defect recognition KW - mammogram KW - meta-heuristics KW - optimization KW - breast cancer KW - detection KW - skin microrelief KW - water sorption KW - aging KW - hair KW - mathematics of colour and texture KW - hand-designed image descriptors KW - rank features KW - partial orders KW - river scene segmentation KW - local binary pattern KW - hue variance KW - surface reflection KW - audio classification KW - dissimilarity space KW - siamese network KW - ensemble of classifiers KW - pattern recognition KW - animal audio KW - co-saliency KW - omnidirectional images KW - video saliency KW - visual saliency estimation KW - Machine vision KW - image analysis KW - item counting device KW - electro-deposition industry KW - digital intraoral radiography KW - image preprocessing KW - periapical lesions KW - texture analysis KW - prostate cancer KW - histopathology KW - microscopic KW - tissue image KW - segmentation KW - morphological KW - quantitative KW - classification KW - SVM KW - image resizing KW - local Tchebichef moments (LTM) KW - scaling KW - scale-and-stretch KW - seam carving KW - faster R-CNN KW - cutting pieces KW - multi-period pattern KW - skew angle KW - period length KW - colored texture pattern classification KW - global-local texture classification KW - color-texture features KW - color-texture feature extraction KW - bagging post-processing KW - BQMP and Haralick global-local feature integration KW - maceral components KW - image segmentation KW - coal petrography KW - random forest KW - two-level clustering KW - deep neural networks KW - adaptive gradient methods KW - stochastic gradient descent KW - bounded scheduling method KW - image classification KW - language modeling KW - texture KW - deep learning KW - MB-LBP KW - surface defect detection KW - feature extraction KW - defect recognition KW - mammogram KW - meta-heuristics KW - optimization KW - breast cancer KW - detection KW - skin microrelief KW - water sorption KW - aging KW - hair KW - mathematics of colour and texture KW - hand-designed image descriptors KW - rank features KW - partial orders KW - river scene segmentation KW - local binary pattern KW - hue variance KW - surface reflection KW - audio classification KW - dissimilarity space KW - siamese network KW - ensemble of classifiers KW - pattern recognition KW - animal audio KW - co-saliency KW - omnidirectional images KW - video saliency KW - visual saliency estimation UR - https://www.unicat.be/uniCat?func=search&query=sysid:146026528 AB - 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. ER -