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

 
9783659128004: Algorithms for Image Thresholding: Study of Robust Algorithm For Image Thresholding Based On 2D Tsallis Entropy
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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detection in EMG signal analysis, optical character recognition and character image extraction, image thresholding of historical documents, color applications, non destructive testing applications,forest fire detection, medical imaging, biometric application, satellite imaging, and object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.

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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.

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Book Description Condition: New. Publisher/Verlag: LAP Lambert Academic Publishing | Study of Robust Algorithm For Image Thresholding Based On 2D Tsallis Entropy | 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. | Format: Paperback | Language/Sprache: english | 84 pp. Seller Inventory # K9783659128004

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Book Description LAP Lambert Academic Publishing Mai 2012, 2012. Taschenbuch. Condition: Neu. Neuware - 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. 84 pp. Englisch. Seller Inventory # 9783659128004

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Book Description LAP Lambert Academic Publishing Mai 2012, 2012. Taschenbuch. Condition: Neu. Neuware - 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. 84 pp. Englisch. Seller Inventory # 9783659128004

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Book Description LAP Lambert Academic Publishing. Paperback. Condition: New. 84 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Seller Inventory # 9783659128004

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Book Description LAP Lambert Academic Publishing, Germany, 2012. Paperback. Condition: New. Aufl.. Language: English. Brand new Book. 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 # AAV9783659128004

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Book Description LAP Lambert Academic Publishing Mai 2012, 2012. Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Neuware - 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. 84 pp. Englisch. Seller Inventory # 9783659128004

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