Neural Network And Entropy Algorithms For Edge Detection In SAR Images - Brossura

El-Sayed, Mohamed A.; A. El-Sinary, Hameda

 
9783659926693: Neural Network And Entropy Algorithms For Edge Detection In SAR Images
Brossura
ISBN 10: 3659926698 ISBN 13: 9783659926693
Casa editrice: LAP LAMBERT Academic Publishing, 2016

Sinossi

Edges detection of digital images is used in a various fields of applications ranging from real-time video surveillance and traffic management to Synthetic Aperture Radar (SAR) imaging applications. 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 a brief study of the fundamental concepts of the edge detection operation, and theories behind different edge detectors. Edge detection models based on first and second order derivatives are presented. Previous works on edge detection models are reviewed and simulated in Matlab. It shows an initial exploration of the effectiveness of using Convolutional Neural Networks (CNNs) for this task. CNNs exploit spatially local correlation by enforcing a local connectivity pattern between neurons of adjacent layers. These techniques are object-independent so that the proposed method can be applied to other types of image processing such as classification and segmentation.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2016
Lingua
Inglese
ISBN 10 
3659926698
ISBN 13 
9783659926693
Rilegatura
Copertina flessibile
Numero di pagine
136
Contatto del produttore
non disponibile
Persona responsabile
non disponibile