Algorithms for Image Thresholding : Study of Robust Algorithm For Image Thresholding Based On 2D Tsallis Entropy

Mohamed A. El-Sayed

ISBN 10: 3659128007 / ISBN 13: 9783659128004

Published by LAP Lambert Academic Publishing, 2012

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Thresholding is an important and effective step in almost all areas of image processing. It is a main tool in pattern recognition, image segmentation, edge detection and scene analysis. In this book, we talk about different applications of thresholding such as: acoustic signal processing, muscle activity detection in EMG signal analysis, optical character recognition and character image extraction, image thresholding of historical documents, color applications, non destructive testing applications,forest fire detection, medical imaging, biometric application, satellite imaging, and object detection. In this way, we present Histogram shape, clustering, entropy-based thresholding method and types of entropy. Also we discuss many thresholding algorithms such as: Algorithms based on attribute similarity, spatial thresholding methods, and locally adaptive thresholding methods. In addition, we present a thresholding technique based on 2D Tsallis entropy. The effectiveness of the proposed method is demonstrated by using examples from the real-world and synthetic images. The performance evaluation of the proposed technique in terms of the quality of the thresholded images are presented.

Seller Inventory # 9783659128004

Bibliographic Details

• Title: Algorithms for Image Thresholding : Study of Robust Algorithm For Image Thresholding Based On 2D Tsallis Entropy
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3659128007
• ISBN 13: 9783659128004
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 176H x 33D millimeters 220 millimeters width by 176 millimeters height by 33 millimeters depth
• Weight: 142 grams

About this title

Synopsis

Thresholding is an important and effective step in almost all areas of image processing. It is a main tool in pattern recognition, image segmentation, edge detection and scene analysis. In this book, we talk about different applications of thresholding such as: acoustic signal processing, muscle activity detection in EMG signal analysis, optical character recognition and character image extraction, image thresholding of historical documents, color applications, non destructive testing applications,forest fire detection, medical imaging, biometric application, satellite imaging, and object detection. In this way, we present Histogram shape, clustering, entropy-based thresholding method and types of entropy. Also we discuss many thresholding algorithms such as: Algorithms based on attribute similarity, spatial thresholding methods, and locally adaptive thresholding methods. In addition, we present a thresholding technique based on 2D Tsallis entropy. The effectiveness of the proposed method is demonstrated by using examples from the real-world and synthetic images. The performance evaluation of the proposed technique in terms of the quality of the thresholded images are presented.

About the Author

Dr. Mohamed Abdel-Halim has obtained his PhD degree in Computer Science in 2007. His research interests include image processing.He is the author of several articles published in reputed journals and is a member of different working groups.He is working in Fayoum Univ., Egypt. Currently, he is an As. Prof. at Taif Univ., Saudi Arabia.