Title: Edge detection in digital images using fuzzy numbers

Authors: I.A.G. Boaventura, A. Gonzaga

Addresses: Institute of Biosciences, Letters and Exact Sciences, Sao Paulo State University (UNESP), Rua Cristovao Colombo, 2265, 15054-000, Sao Jose do Rio Preto, SP, Brazil. ' Department of Electrical Engineering, Sao Carlos Engineering School, University of Sao Paulo (USP), Av. Trabalhador Sao-carlence, 400, 13560-590, Sao Carlos, SP, Brasil

Abstract: The purpose of this paper is to introduce a new approach for edge detection in grey shaded images. The proposed approach is based on the fuzzy number theory. The idea is to deal with the uncertainties concerning the grey shades making up the image and, thus, calculate the appropriateness of the pixels in relation to a homogeneous region around them. The pixels not belonging to the region are then classified as border pixels. The results have shown that the technique is simple, computationally efficient and with good results when compared with both the traditional border detectors and the fuzzy edge detectors.

Keywords: image processing; edge detector; fuzzy numbers; digital images; grey shaded images; uncertainties; border detectors.

DOI: 10.1504/IJICA.2009.027992

International Journal of Innovative Computing and Applications, 2009 Vol.2 No.1, pp.1 - 12

Received: 16 Mar 2009
Accepted: 28 May 2009
Published online: 26 Aug 2009 *

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