Edges Detection of Images: Algorithms of Edges Detection for Digital Image - Couverture souple

El-Sayed, Mohamed A.

 
9783659157080: Edges Detection of Images: Algorithms of Edges Detection for Digital Image
Couverture souple
ISBN 10 : 3659157082 ISBN 13 : 9783659157080
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Edge detection is an important field in image processing. It can be used in many applications such as segmentation, registration, feature extraction, and identification of objects in a scene. This book deals with the different types of applications of edge detection in real life. It presents the different methods of edge detection, such as classical methods, multi-resolution methods, nonlinear methods, wavelet based methods, statistical methods, machine learning based methods, contextual methods, line edge detectors, and coloured edges methods. In addition, it presents various techniques of different authors such as Pun, Kapur, Li, Shanbag, Sahoo, Yen, and Pal. In this way, it presents the modified algorithm of Baljit and Amar algorithm. It has been observed that the proposed edge detector works effectively for different gray scale digital images. The results of this study were quite promising. In addition, it introduces new proposed algorithm of edge detection based on split/merge technique. It is decrease the computation time with generate high quality of edge detection. From the results; it works well as compare to the previous classical methods.

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

Présentation de l'éditeur

Edge detection is an important field in image processing. It can be used in many applications such as segmentation, registration, feature extraction, and identification of objects in a scene. This book deals with the different types of applications of edge detection in real life. It presents the different methods of edge detection, such as classical methods, multi-resolution methods, nonlinear methods, wavelet based methods, statistical methods, machine learning based methods, contextual methods, line edge detectors, and coloured edges methods. In addition, it presents various techniques of different authors such as Pun, Kapur, Li, Shanbag, Sahoo, Yen, and Pal. In this way, it presents the modified algorithm of Baljit and Amar algorithm. It has been observed that the proposed edge detector works effectively for different gray scale digital images. The results of this study were quite promising. In addition, it introduces new proposed algorithm of edge detection based on split/merge technique. It is decrease the computation time with generate high quality of edge detection. From the results; it works well as compare to the previous classical methods.

Biographie de l'auteur

Dr. Mohamed A. El-Sayed 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.

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 
3659157082
ISBN 13 
9783659157080
Reliure
Broché
Nombre de pages
116
Coordonnées du fabricant
non disponible
Personne responsable
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