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220822 ||| eng |
| 020 |
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|a books978-3-0365-1377-5
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|a 9783036513775
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| 020 |
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|a 9783036513782
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| 100 |
1 |
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|a Bianconi, Francesco
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| 245 |
0 |
0 |
|a Texture and Colour in Image Analysis
|h Elektronische Ressource
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| 260 |
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2021
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| 300 |
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|a 1 electronic resource (278 p.)
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| 653 |
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|a aging
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| 653 |
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|a siamese network
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| 653 |
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|a surface reflection
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| 653 |
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|a skew angle
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| 653 |
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|a image preprocessing
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| 653 |
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|a color-texture feature extraction
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| 653 |
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|a partial orders
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| 653 |
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|a BQMP and Haralick global-local feature integration
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| 653 |
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|a deep learning
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| 653 |
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|a microscopic
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| 653 |
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|a period length
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| 653 |
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|a texture analysis
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| 653 |
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|a surface defect detection
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| 653 |
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|a rank features
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| 653 |
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|a cutting pieces
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| 653 |
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|a stochastic gradient descent
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| 653 |
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|a Information technology industries / bicssc
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| 653 |
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|a audio classification
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| 653 |
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|a coal petrography
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| 653 |
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|a prostate cancer
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| 653 |
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|a image analysis
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| 653 |
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|a Machine vision
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| 653 |
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|a video saliency
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| 653 |
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|a segmentation
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| 653 |
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|a meta-heuristics
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| 653 |
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|a scale-and-stretch
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| 653 |
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|a image classification
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| 653 |
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|a hue variance
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| 653 |
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|a texture
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| 653 |
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|a co-saliency
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| 653 |
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|a omnidirectional images
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| 653 |
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|a local Tchebichef moments (LTM)
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| 653 |
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|a MB-LBP
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| 653 |
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|a scaling
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| 653 |
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|a color-texture features
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| 653 |
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|a faster R-CNN
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| 653 |
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|a item counting device
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| 653 |
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|a random forest
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| 653 |
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|a defect recognition
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| 653 |
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|a n/a
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| 653 |
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|a bagging post-processing
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| 653 |
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|a two-level clustering
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| 653 |
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|a water sorption
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| 653 |
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|a multi-period pattern
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| 653 |
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|a mathematics of colour and texture
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| 653 |
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|a tissue image
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| 653 |
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|a image resizing
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| 653 |
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|a hair
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| 653 |
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|a deep neural networks
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| 653 |
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|a digital intraoral radiography
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| 653 |
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|a feature extraction
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| 653 |
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|a local binary pattern
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| 653 |
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|a river scene segmentation
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| 653 |
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|a seam carving
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| 653 |
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|a mammogram
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| 653 |
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|a morphological
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| 653 |
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|a language modeling
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| 653 |
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|a breast cancer
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| 653 |
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|a periapical lesions
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| 653 |
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|a colored texture pattern classification
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| 653 |
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|a adaptive gradient methods
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| 653 |
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|a electro-deposition industry
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| 653 |
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|a histopathology
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| 653 |
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|a maceral components
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| 653 |
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|a visual saliency estimation
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| 653 |
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|a ensemble of classifiers
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| 653 |
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|a animal audio
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| 653 |
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|a skin microrelief
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| 653 |
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|a SVM
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| 653 |
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|a detection
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| 653 |
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|a classification
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| 653 |
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|a global-local texture classification
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| 653 |
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|a quantitative
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| 653 |
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|a bounded scheduling method
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| 653 |
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|a pattern recognition
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| 653 |
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|a optimization
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| 653 |
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|a hand-designed image descriptors
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| 653 |
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|a dissimilarity space
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| 653 |
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|a image segmentation
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| 700 |
1 |
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|a Fernández, Antonio
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| 700 |
1 |
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|a Sánchez-Yáñez, Raúl E.
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| 700 |
1 |
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|a Bianconi, Francesco
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
|
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|b DOAB
|a Directory of Open Access Books
|
| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
| 028 |
5 |
0 |
|a 10.3390/books978-3-0365-1377-5
|
| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/76932
|z DOAB: description of the publication
|
| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/4523
|7 0
|x Verlag
|3 Volltext
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| 082 |
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|a 400
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|a 000
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|a 500
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|a 330
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|a 700
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|a 600
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|a 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.
|