Image Processing and Pattern Recognition : Fundamentals and Techniques
Frank Y. Shih
Bok Engelsk 2010 · Electronic books.
| Annen tittel | |
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| Utgitt | Hoboken : : Wiley, , 2010.
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| Omfang | 1 online resource (551 p.)
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| Opplysninger | Description based upon print version of record.. - IMAGE PROCESSING AND PATTERN RECOGNITION; CONTENTS; PART I FUNDAMENTALS; 1 INTRODUCTION; 1.1 The World of Signals; 1.1.1 One-Dimensional Signals; 1.1.2 Two-Dimensional Signals; 1.1.3 Three-Dimensional Signals; 1.1.4 Multidimensional Signals; 1.2 Digital Image Processing; 1.3 Elements of an Image Processing System; Appendix 1.A Selected List of Books on Image Processing and Computer Vision from Year 2000; 1.A.1 Selected List of Books on Signal Processing from Year 2000; 1.A.2 Selected List of Books on Pattern Recognition from Year 2000; References; 2 MATHEMATICAL PRELIMINARIES. - 2.1 Laplace Transform2.1.1 Properties of Laplace Transform; 2.2 Fourier Transform; 2.2.1 Basic Theorems; 2.2.2 Discrete Fourier Transform; 2.2.3 Fast Fourier Transform; 2.3 Z-Transform; 2.3.1 Definition of Z-Transform; 2.3.2 Properties of Z-Transform; 2.4 Cosine Transform; 2.5 Wavelet Transform; References; 3 IMAGE ENHANCEMENT; 3.1 Grayscale Transformation; 3.2 Piecewise Linear Transformation; 3.3 Bit Plane Slicing; 3.4 Histogram Equalization; 3.5 Histogram Specification; 3.6 Enhancement by Arithmetic Operations; 3.7 Smoothing Filter; 3.8 Sharpening Filter. - 3.9 Image Blur Types and Quality MeasuresReferences; 4 MATHEMATICAL MORPHOLOGY; 4.1 Binary Morphology; 4.1.1 Binary Dilation; 4.1.2 Binary Erosion; 4.2 Opening and Closing; 4.3 Hit-or-Miss Transform; 4.4 Grayscale Morphology; 4.4.1 Grayscale Dilation and Erosion; 4.4.2 Grayscale Dilation Erosion Duality Theorem; 4.5 Basic Morphological Algorithms; 4.5.1 Boundary Extraction; 4.5.2 Region Filling; 4.5.3 Extraction of Connected Components; 4.5.4 Convex Hull; 4.5.5 Thinning; 4.5.6 Thickening; 4.5.7 Skeletonization; 4.5.8 Pruning; 4.5.9 Morphological Edge Operator. - 4.5.9.1 The Simple Morphological Edge Operators4.5.9.2 Blur-Minimum Morphological Edge Operator; 4.6 Morphological Filters; 4.6.1 Alternating Sequential Filters; 4.6.2 Recursive Morphological Filters; 4.6.3 Soft Morphological Filters; 4.6.4 Order-Statistic Soft Morphological (OSSM) Filters; 4.6.5 Recursive Soft Morphological Filters; 4.6.6 Recursive Order-Statistic Soft Morphological Filters; 4.6.7 Regulated Morphological Filters; 4.6.8 Fuzzy Morphological Filters; References; 5 IMAGE SEGMENTATION; 5.1 Thresholding; 5.2 Object (Component) Labeling. - 5.3 Locating Object Contours by the Snake Model5.3.1 The Traditional Snake Model; 5.3.2 The Improved Snake Model; 5.3.3 The Gravitation External Force Field and The Greedy Algorithm; 5.3.4 Experimental Results; 5.4 Edge Operators; 5.5 Edge Linking by Adaptive Mathematical Morphology; 5.5.1 The Adaptive Mathematical Morphology; 5.5.2 The Adaptive Morphological Edge-Linking Algorithm; 5.5.3 Experimental Results; 5.6 Automatic Seeded Region Growing; 5.6.1 Overview of the Automatic Seeded Region Growing Algorithm; 5.6.2 The Method for Automatic Seed Selection; 5.6.3 The Segmentation Algorithm. - 5.6.4 Experimental Results and Discussions. - A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems
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| Emner | |
| Sjanger | |
| Dewey | |
| ISBN | 9780470404614
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