Fuzzy Inference System based Edge Detection using Fuzzy Membership Functions

An edge is the boundary between an object and the background. It indicates the boundary between overlapping objects. Edge detection is one of the most commonly used operation analysis, which is used for enhancing and detecting edges in the image. In the literature review, there are many techniques d...

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Veröffentlicht in:International journal of computer applications 2015-01, Vol.112 (4)
Hauptverfasser: Kumar, E Boopathi, Sundaresan, M
Format: Artikel
Sprache:eng
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Zusammenfassung:An edge is the boundary between an object and the background. It indicates the boundary between overlapping objects. Edge detection is one of the most commonly used operation analysis, which is used for enhancing and detecting edges in the image. In the literature review, there are many techniques developed to achieve the edge detection task such as Canny, Sobel, Prewitt, Roberts, Laplacian, Laplacian of Gaussian, Difference of Gaussian etc. This paper presents a fuzzy rule based algorithm, which is capable of detecting edges efficiently from the grayscale images. In this paper, Trapezoidal membership function is used to detect edges. Here, 3*3 masks are proposed and this method has provided better results than the other methods such as Triangular functions 2*2 and 3*3 masks.
ISSN:0975-8887
0975-8887
DOI:10.5120/19654-1271