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BOOK
Author Seul, Michael.
Title Practical algorithms for image analysis : description, examples, and code / Michael Seul, Lawrence O'Gorman, Michael J. Sammon.
Imprint Cambridge ; New York : Cambridge University Press, 2000.

LOCATION CALL # STATUS MESSAGE
 OTTERBEIN MAIN COLLECTION  TA1637 .S38 2000    AVAILABLE  LOCAL CIRC ONLY
LOCATION CALL # STATUS MESSAGE
 OTTERBEIN MAIN COLLECTION  TA1637 .S38 2000    AVAILABLE  LOCAL CIRC ONLY
Subject Image processing -- Digital techniques.
Algorithms.
Image analysis -- Data processing.
Alt Name O'Gorman, Lawrence.
Sammon, Michael J.
Description v, 295 pages : illustrations ; 26 cm
Bibliography Note Includes bibliographical references and index.
Note MT: Includes 1 CD-ROM
Local Note OTTERBEIN: Includes 1 CD-Rom.
ISBN 0521660653 (hb)
OCLC # 40744474
Table of Contents
1Introduction1
2Global Image Analysis21
 2.1Intensity Histogram: Global Features23
 2.2Histogram Transformations: Global Enhancement27
 2.3Combining Images37
 2.4Geometric Image Transformations43
 2.5Color Image Transformations51
3Gray-Scale Image Analysis56
 3.1Local Image Operations: Convolution59
 3.2Noise Reduction68
 3.3Edge Enhancement and Flat Fielding75
 3.4Edge and Peak Point Detection80
 3.5Advanced Edge Detection90
 3.6Subsampling97
 3.7Multiresolution Analysis101
 3.8Template Matching106
 3.9Binarization110
4Binary Image Analysis118
 4.1Morphological and Cellular Processing121
 4.2Binary Noise Removal129
 4.3Region Detection132
 4.4Shape Analysis: Geometrical Features and Moments144
 4.5Advanced Shape: Analysis: Fourier Descriptors152
 4.6Convex Hull of Polygons156
 4.7Thinning160
 4.8Linewidth Determination164
 4.9Global Features and Image Profiles167
 4.10Hough Transform172
5Analysis of Lines and Line Patterns176
 5.1Chain Coding178
 5.2Line Features and Noise Reduction184
 5.3Polygonalization191
 5.4Critical Point Detection197
 5.5Straight-Line Fitting201
 5.6Cubic Spline Fitting206
 5.7Morphology and Topology of Line Patterns210
6Analysis of Point Patterns221
 6.1The Voronoi Diagram of Point Patterns222
 6.2Spatial Statistics of Point Patterns: Distribution Functions228
 6.3Topology and Geometry of Cellular Patterns235
 6.4The k-Nearest-Neighbor (k-NN) Problem241
7Frequency Domain Analysis246
 7.1The 2D Discrete Fourier Transform248
 7.2Frequency Domain Filtering265
 Appendix: Synopsis of Important Concepts273
 App. A.1The Fourier Transform: Spatial Domain Versus Frequency Domain274
 App. A.2Linear Systems: Impulse Response, Convolution, and Transfer Function278
 App. A.3Special-Purpose Filters283
 App. A.4The Whittaker-Shannon Sampling Theorem285
 App. A.5Commonly Used Data Structures288
 Index295