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

Human and Computer Vision.- Neuronal Pathways of Vision.- Color.- Linear Tools of Vision.- Discrete Images and Hilbert Spaces.- Continuous Functions and Hilbert Spaces.- Finite Extension or Periodic Functions-Fourier Coefficients.- Fourier Transform-Infinite Extension Functions.- Properties of the Fourier Transform.- Reconstruction and Approximation.- Scales and Frequency Channels.- Vision of Single Direction.- Direction in 2D.- Direction in Curvilinear Coordinates.- Direction in ND, Motion as Direction.- World Geometry by Direction in N Dimensions.- Vision in Multiple Directions.- Group Direction and N-Folded Symmetry.- Grouping, Segmentation, and Region Description.- Reducing the Dimension of Features.- Grouping and Unsupervised Region Segregation.- Region and Boundary Descriptors.- Concluding Remarks.