PGA Based Thresholding Schemes for Image Segmentation : Object and Background Classification

Language: English

Published by LAP Lambert Academic Publishing, 2012

3659252123 / 9783659252129

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, the problem of image segmentation has been addressed using the notion of thresholding. Since the focus of this work is primarily on object/objects background classi cation and fault detection in a given scene, the segmentation problem is viewed as a classi cation problem. In this regard, the notion of thresholding has been used to classify the range of gray values and hence classi es the image. The gray level distributions of the original image or the proposed feature image have been used to obtain the optimal threshold. A Minimum Mean Square Error (MMSE) based FL and FB schemes have been proposed to deal with fault detection in a given scene whose histogram does not exhibit clear bimodality and almost becomes unimodal. Adaptive thresholding based schemes have been proposed to separate object and background in images with nonuniform lighting conditions.

Seller Inventory # 9783659252129

Title
PGA Based Thresholding Schemes for Image Segmentation : Object and Background Classification
Author
Pradipta Kumar Nanda
Publisher
LAP Lambert Academic Publishing
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659252123
ISBN 13
9783659252129
Item weight
447 grams
Dimensions
220x150x18 mm

AHA-BUCH GmbH

Einbeck, Germany

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