
DIFFERENTIAL SEARCH ALGORITHM BASED EDGE DETECTION
Author(s) -
M. A. Gunen,
Pınar Çivicioǧlu,
Erkan Beşdok
Publication year - 2016
Publication title -
the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 71
eISSN - 1682-1777
pISSN - 1682-1750
DOI - 10.5194/isprsarchives-xli-b7-667-2016
Subject(s) - thresholding , edge detection , enhanced data rates for gsm evolution , computer science , heuristic , artificial intelligence , image (mathematics) , deriche edge detector , image fusion , image edge , algorithm , pattern recognition (psychology) , computer vision , image processing
In this paper, a new method has been presented for the extraction of edge information by using Differential Search Optimization Algorithm. The proposed method is based on using a new heuristic image thresholding method for edge detection. The success of the proposed method has been examined on fusion of two remote sensed images. The applicability of the proposed method on edge detection and image fusion problems have been analysed in detail and the empirical results exposed that the proposed method is useful for solving the mentioned problems.