دانلود کتاب Image processing dealing with texture.

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Cover Title Page Copyright Contents Preface to the Second Edition Preface to the First Edition Acknowledgements About the Companion Website Chapter 1 Introduction Chapter 2 Binary Textures 2.1 Shape Grammars 2.2 Boolean Models 2.3 Mathematical Morphology Chapter 3 Stationary Grey Texture Images 3.1 Image Binarisation 3.2 Grey Scale Mathematical Morphology 3.3 Fractals and Multifractals 3.4 Image Statistics 3.5 Texture Features from the Fourier Transform 3.6 Markov Random Fields 3.7 Gibbs Distributions 3.8 Texture Repair Chapter 4 Non‐stationary Grey Texture Images 4.1 The Uncertainty Principle and its Implications in Signal and Image Processing 4.2 Gabor Functions 4.3 Prolate Spheroidal Sequence Functions 4.4 Local Phase Features 4.5 Wavelets 4.6 The Dual Tree Complex Wavelet Transform 4.7 Ridgelets and Curvelets 4.8 Where Image Processing and Pattern Recognition Meet 4.9 Laws' Masks and the “What Looks Like Where” Space 4.10 Local Binary Patterns 4.11 The Wigner Distribution 4.12 Convolutional Neural Networks for Textures Feature Extraction Bibliographical Notes References Index EULA