Fuzzy Logic Based Digital Image Edge Detection

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Fuzzy Logic Based Digital Image Edge Detection

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Abstract

In this paper fuzzy based edge detection algorithm is developed. In the proposed algorithm, edginess at each pixel of a digital image is calculated using three (3) 3 3 linear spatial filters i.e. low-pass, high-pass and edge enhancement (Sobel) filters through spatial convolution process. Edge strength values derived from the three masks form three set of edges, utilized as fuzzy system inputs. Based on the Gaussian membership functions and fuzzy rules the fuzzy system decide whether a pixel in focus belong to an edge or non-edge. The final pixel classification of a given image is produced by generating output pixel value using Mamdani defuzzifier method. The robustness of the proposed method results for different captured images are compared to those obtained with Sobel and Prewitt operators. Experimental results show the ability and high performance of proposed algorithm.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr.Aborisade, D.O. 1970. "Fuzzy Logic Based Digital Image Edge Detection". Global Journal of Computer Science and Technology GJCST Volume 10 (GJCST Volume 10 Issue 14).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Version of record

v1.2

Issue date
October 14, 2010

Language
English
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Fuzzy Logic Based Digital Image Edge Detection

Dr.Aborisade, D.O
Dr.Aborisade, D.O Ladoke Akintola University of Tech.