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Vision with Direction : A Systematic Introduction to Image Processing and Computer Vision

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Cover of 'Vision with Direction : A Systematic Introduction to Image Processing and Computer Vision'

Table of Contents

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    Book Overview
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    Chapter 1 Neuronal Pathways of Vision
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    Chapter 2 Color
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    Chapter 3 Discrete Images and Hilbert Spaces
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    Chapter 4 Continuous Functions and Hilbert Spaces
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    Chapter 5 Finite Extension or Periodic Functions—Fourier Coefficients
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    Chapter 6 Fourier Transform—Infinite Extension Functions
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    Chapter 7 Properties of the Fourier Transform
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    Chapter 8 Reconstruction and Approximation
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    Chapter 9 Scales and Frequency Channels
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    Chapter 10 Direction in 2D
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    Chapter 11 Direction in Curvilinear Coordinates
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    Chapter 12 Direction in ND, Motion as Direction
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    Chapter 13 World Geometry by Direction in N Dimensions
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    Chapter 14 Group Direction and N-Folded Symmetry
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    Chapter 15 Reducing the Dimension of Features
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    Chapter 16 Grouping and Unsupervised Region Segregation
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    Chapter 17 Region and Boundary Descriptors
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    Chapter 18 Concluding Remarks
Attention for Chapter 10: Direction in 2D
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