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

Kanungo, Priyadarshi; Nanda, Pradipta Kumar

 
9783659252129: PGA Based Thresholding Schemes for Image Segmentation: Object and Background Classification
Couverture souple
ISBN 10 : 3659252123 ISBN 13 : 9783659252129
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

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 classification and fault detection in a given scene, the segmentation problem is viewed as a classification problem. In this regard, the notion of thresholding has been used to classify the range of gray values and hence classifies 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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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 classification and fault detection in a given scene, the segmentation problem is viewed as a classification problem. In this regard, the notion of thresholding has been used to classify the range of gray values and hence classifies 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.

Biographie de l'auteur

Dr. P. Kanungo, Presently working as Associate Professor, Department of ETC Engg., C.V.Raman College of Engineering, Bhubaneswar, Odisha, India.Prof.P. K. Nanda, (Ex-Professor, NIT Rourkela), presently working as Professor, Department of ECE, ITER, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, India.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659252123
ISBN 13 
9783659252129
Reliure
Broché
Nombre de pages
288
Coordonnées du fabricant
non disponible
Personne responsable
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