DIFFERENTIAL SEARCH ALGORITHM BASED EDGE DETECTION

GÜNEN M. A., Civicioglu P., BEŞDOK E.

23rd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS), Prague, Czech Republic, 12 - 19 July 2016, vol.41, pp.667-670 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 41
  • Doi Number: 10.5194/isprsarchives-xli-b7-667-2016
  • City: Prague
  • Country: Czech Republic
  • Page Numbers: pp.667-670
  • Keywords: Differential Search Algorithm, Edge Detection, Image Fusion, IMPULSIVE NOISE SUPPRESSION, FUZZY C-MEANS, CORRUPTED IMAGES, NEURAL-NETWORK
  • Erciyes University Affiliated: Yes

Abstract

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.