PDF ISBN: 9780819480439 | Print ISBN: 9780819491602
DESCRIPTION
Part of the SPIE/IEEE Series on Imaging Science and Engineering. This book is directed to practicing engineers and scientists who need to understand the fundamentals of image processing theory and algorithms to perform their technical tasks. It is intended to fill the gap between existing high-level texts dedicated to specialists in the field and the need for a more practical, fundamental text on image processing. A variety of example images are used to enhance reader understanding of how particular image processing algorithms work.
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2.4 Important Functions Relating to the Fourier Transform
2.5 The Discrete Fourier Transform
2.6 Example and Properties of the Discrete Fourier Transform
2.7 Computation of the Discrete Fourier Transform
2.8 Other Image Transforms
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5.1 Nonlinear Spatial Filters Based on Order Statistics
5.2 Nonlinear Mean Filters
5.3 Adaptive Filters
5.4 The Homomorphic Filter
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7.4 Binary Morphology—Opening, Closing, Edge Detection, and Skeletonization
7.5 Binary Morphology—Hit-Miss, Thinning, Thickening, and Pruning
7.6 Binary Morphology—Granulometries and the Pattern Spectrum
7.7 Graylevel Morphology
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