Feature Extraction and Classification Methods of Texture Images : Performance Analysis of Feature Extraction Methods Under Different Classifiers

Language: English

Published by LAP LAMBERT Academic Publishing, 2013

3659417394 / 9783659417399

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nach der Bestellung gedruckt Neuware - Printed after ordering - In texture classification the goal is to assign an unknown sample texture image to one of a set of known texture classes.Important applications include industrial and bio medical surface inspection, for example for defects and disease, ground classification and segmentation of satellite or aerial imagery, segmentation of textured regions in document analysis, and content-based access to image databases. However, despite many potential areas of application for texture analysis in industry there is only a limited number of successful examples. A major problem is that textures in the real world are often not uniform, due to changes in orientation, scale or other visual appearance. In addition, the degree of computational complexity of many of the proposed texture measures is very high.A wide variety of techniques for describing image texture have been proposed in literature. This work is an analysis of texture image classification in different classifier under two different features called wavelet and statistical. The result shows that image classification with wavelet feature and feed forward neural network gives better result.…

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Title
Feature Extraction and Classification Methods of Texture Images : Performance Analysis of Feature Extraction Methods Under Different Classifiers
Author
Ajay Kumar Singh
Publisher
LAP LAMBERT Academic Publishing
Publication year
2013
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659417394
ISBN 13
9783659417399
Item weight
161 grams
Dimensions
220x150x7 mm

AHA-BUCH GmbH

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