Texture and Colour in Image Analysis

doi:10.3390/books978-3-0365-1377-5

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Hardback

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Keywords

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; segmentation; deep learning; MB-LBP; surface defect detection; feature extraction; defect recognition; mammogram; meta-heuristics; optimization; breast cancer; segmentation; detection; texture; 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; hand-designed image descriptors; audio classification; dissimilarity space; siamese network; ensemble of classifiers; pattern recognition; animal audio; co-saliency; omnidirectional images; video saliency; visual saliency estimation; n/a

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Texture and Colour in Image Analysis

Edited by

November 2021

278 pages

ISBN978-3-0365-1378-2 (Hardback)
ISBN978-3-0365-1377-5 (PDF)

https://doi.org/10.3390/books978-3-0365-1377-5

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This is a Reprint of the Special Issue Texture and Colour in Image Analysis that was published in

Biology & Life Sciences

Chemistry & Materials Science

Computer Science & Mathematics

Engineering

Environmental & Earth Sciences

Physical Sciences

Summary

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.

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