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Pattern recognition and image processing
1 online resource (258 pages) : illustrations
This book delivers a course module for advanced undergraduates, postgraduates and researchers of electronics, computing science, medical imaging, or wherever the study of identification and classification of objects by electronics-driven image processing and pattern recognition is relevant. Object analysis first uses image processing to detect objects and extract their features, then identifies and classifies them by pattern recognition. Its manifold applications include recognition of objects in satellite images which enable discrimination between different objects, such as fishing boats, merchant ships or warships; machine spare parts e.g. screws, nuts etc. (engineering); detection of cancers, ulcers, tumours and so on (medicine); and recognition of soil particles of different types (agriculture or soil mechanics in civil engineering). Outlines the identification and classification of objects by electronics-driven image processing and pattern recognitionDiscusses object detection, shape, roundness and sharpness analysis, orientation analysis and arrangement analysisDelivers a course module for advanced undergraduates, postgraduates and researchers of electronics, computing science and medical imaging.
Front Cover; DAISHENG LUO; Pattern Recognition and Image Processing; Copyright Page; Table of Contents; Preface; Chapter 1. Introduction; 1.1 Image Processing; 1.2 Pattern Recognition; 1.3 Relationship Between Image Processing and Pattern Recognition; 1.4 Image Processing and Pattern Recognition in Object Analysis; 1.5 About This Book; References; Chapter 2. Object Detection; 2.1 Introduction; 2.2 Image Restoration; 2.3 Image Enhancement; 2.4 Image Segmentation; 2.5 Object Detection and Labelling; References; Chapter 3. Shape Analysis; 3.1 Introduction; 3.2 Convex Hull
3.3 Convex Hull Based Shape Representation3.4 Fractals; 3.5 Fractals Based Shape Representation; 3.6 Summary; References; Appendix 3A Find the Simple Polygon by Stair-Climbing Method; Chapter 4. Roundness/Sharpness Analysis; 4.1 Introduction; 4.2 Hough Transform; 4.3 Algorithms for Circular Hough Transform; 4.4 Threshold Function T(r); 4.5 Sharp Corners; 4.6 Examples of Roundness/Sharpness Analysis; 4.7 Conclusions; References; Chapter 5. Orientation Analysis; 5.1 Introduction; 5.2 Directed Vein Method; 5.3 Convex Hull Method; 5.4 Principal Component Transformation; 5.5 Moments of Moments
Includes bibliographical references and index.
Reconnaissance optique des formes (Informatique)
Reconnaissance des formes (Informatique)
Cambridge, England ; Philadelphia, Philadelphia ; New Delhi, India : Woodhead Publishing, 2011, ©1998
Woodhead Publishing series in electronic and optical materials