A NEW FUZZY EDGE DETECTOR FOR NOISY IMAGES USING MODIFIED WFM FILTER


BECERİKLİ Y. , Karan T. M. , Okatan A.

INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, vol.5, no.6, pp.1725-1733, 2009 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 5 Issue: 6
  • Publication Date: 2009
  • Title of Journal : INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL
  • Page Numbers: pp.1725-1733

Abstract

The edge detection is one of the most important tasks in the image processing area. The edges in the image can be defined as sudden gray level transition. In other words edges are the high frequency components of the images. At the same time, random noises have also same attributes. Thus distinguishing the edges from the noises is one of the most complex problems that is encountered in the image processing. In the literature some techniques and approaches are available for this purpose. In this paper we proposed a new fuzzy based approach to fulfill filtering and edge extraction simultaneously. It was proposed a new approach for filtering and edge detection using fuzzy approach. In these approaches, heuristic miles were applied, and results were observed for different images.