Ebook: Pattern Analysis and Understanding

In this second edition every chapter of the first edition of Pattern Analysis has been updated and expanded. The general view of a system for pattern analysis and understanding has remained unchanged, but many details have been revised. A short account of light and sound has been added to the introduction, some normalization techniques and a basic introduction to morphological operations have been added to the second chapter. Chapter 3 has been expanded significantly by topics like motion, depth, and shape from shading; additional material has also been added to the already existing sections of this chapter. The old sections of Chap. 4 have been reorganized, a general view of the classification problem has been added and material provided to incorporate techniques of word and object recognition and to give a short account of some types of neural nets. Almost no changes have been made in Chap. 5. The part on representation of control structures in Chap. 6 has been shortened, a section on the judgement of results has been added. Chapter 7 has been rewritten almost completely; the section on formal grammars has been reduced, the sections on production systems, semantic networks, and knowledge acquisition have been expanded, and sections on logic and explanation added. The old Chaps. 8 and 9 have been omitted. In summary, the new edition is a thorough revision and extensive update of the first one taking into account the progress in the field during recent years.

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This book treats the problem of pattern analysis, that is, the automatic interpretation of sensor signals, in particular images, image sequences, and continuous speech. The emphasis of the book is on an integrated view covering the initial preprocessing and segmentation, the classification of individual objects, the representation of relevant data, the automatic determination of control strategy, and knowledge-based understanding of the input with respect to an internal model of the task domain. The view is based on the idea that pattern analysis proceeds from the sensor data via different levels of abstraction to the desired final representation. In this new second edition, every chapter has been revised and partly rewritten. New material has been added to the chapters on segmentation, classification, and knowledge, and the chapters on preprocessing and control have been updated. The book is meant as an introductory text for the researcher and student specializing in this field. It provides an up-to-date discussion of all aspects of knowledge-based processing and understanding of patterns.

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This book treats the problem of pattern analysis, that is, the automatic interpretation of sensor signals, in particular images, image sequences, and continuous speech. The emphasis of the book is on an integrated view covering the initial preprocessing and segmentation, the classification of individual objects, the representation of relevant data, the automatic determination of control strategy, and knowledge-based understanding of the input with respect to an internal model of the task domain. The view is based on the idea that pattern analysis proceeds from the sensor data via different levels of abstraction to the desired final representation. In this new second edition, every chapter has been revised and partly rewritten. New material has been added to the chapters on segmentation, classification, and knowledge, and the chapters on preprocessing and control have been updated. The book is meant as an introductory text for the researcher and student specializing in this field. It provides an up-to-date discussion of all aspects of knowledge-based processing and understanding of patterns.
Content:
Front Matter....Pages I-XIV
Introduction....Pages 1-25
Preprocessing....Pages 26-73
Segmentation....Pages 74-150
Classification....Pages 151-205
Data....Pages 206-235
Control....Pages 236-270
Knowledge....Pages 271-341
Back Matter....Pages 343-371

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This book treats the problem of pattern analysis, that is, the automatic interpretation of sensor signals, in particular images, image sequences, and continuous speech. The emphasis of the book is on an integrated view covering the initial preprocessing and segmentation, the classification of individual objects, the representation of relevant data, the automatic determination of control strategy, and knowledge-based understanding of the input with respect to an internal model of the task domain. The view is based on the idea that pattern analysis proceeds from the sensor data via different levels of abstraction to the desired final representation. In this new second edition, every chapter has been revised and partly rewritten. New material has been added to the chapters on segmentation, classification, and knowledge, and the chapters on preprocessing and control have been updated. The book is meant as an introductory text for the researcher and student specializing in this field. It provides an up-to-date discussion of all aspects of knowledge-based processing and understanding of patterns.
Content:
Front Matter....Pages I-XIV
Introduction....Pages 1-25
Preprocessing....Pages 26-73
Segmentation....Pages 74-150
Classification....Pages 151-205
Data....Pages 206-235
Control....Pages 236-270
Knowledge....Pages 271-341
Back Matter....Pages 343-371
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