Image Processing, Analysis, and Machine Vision

Framsida
Cengage Learning, 21 jan. 2014 - 920 sidor
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The brand new edition of IMAGE PROCESSING, ANALYSIS, AND MACHINE VISION is a robust text providing deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision. As a result, it can serve undergraduates, graduates, researchers, and professionals looking for a readable reference. The book's encyclopedic coverage of topics is wide, and it can be used in more than one course (both image processing and machine vision classes). In addition, while advanced mathematics is not needed to understand basic concepts (making this a good choice for undergraduates), rigorous mathematical coverage is included for more advanced readers. It is also distinguished by its easy-to-understand algorithm descriptions of difficult concepts, and a wealth of carefully selected problems and examples.
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Innehåll

Introduction
1
The Image Its Representations and Properties
11
The Image Its Mathematical and Physical Background
50
Data Structures for Image Analysis
100
Image PreProcessing
116
Segmentation I
178
Segmentation II
255
Shape Representation and Description
329
Image Understanding
464
3D Geometry Correspondence 3D from Intensities
582
Use of 3D Vision
644
Mathematical Morphology
684
Image Data Compression
722
Texture
747
Motion Analysis
787
Index
853

Object Recognition
385

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