A NEW ADAPTIVE METHOD FOR EDGE DETECTION USING FUZZY MODELING OF MULTI-SCALE ANALYSIS IN HUMAN’S RETINA

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SALIMIAN RIZI M.; MEHRSHAD N.; RAZAVI S.M.

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Journal: COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING) Year:2012 | Volume:3 | Issue:1 (6) Page(s): 37-45

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Title

A NEW ADAPTIVE METHOD FOR EDGE DETECTION USING FUZZY MODELING OF MULTI-SCALE ANALYSIS IN HUMAN’S RETINA

Author(s)

SALIMIAN RIZI M. | MEHRSHAD N. | RAZAVI S.M. | Issue Writer Certificate

Keywords

EDGE DETECTIONQ3

FUZZY DECISION RULESQ3

GENETIC ALGORITHMQ2

HUMAN VISUAL SYSTEMQ3

MULTI-SCALE ANALYSISQ2

Abstract

Attention to the HUMAN VISUAL SYSTEM and simulating it in developing new image processing algorithms has attracted researchers attention. In this paper an intelligent EDGE DETECTION method based on modeling of simple and complex cells fuzzy modeling of MULTI-SCALE ANALYSIS of images in primary visual cortex is presented. For effective modeling of simple and complex cells response on EDGE DETECTION, a method is proposed to adjust the parameters of Gabor filter (as a mathematical model of simple cells) and the nonlinear function as a thresholding function. The Main advantage of the proposed method in comparison with other common methods of EDGE DETECTION is that the proposed fuzzy model for MULTI-SCALE ANALYSIS does not receive any parameters as its input. And because of modeling the MULTI-SCALE ANALYSIS in the human retina, in the proposed method, all edges of the fine and coarse structures in the image will be detected and resolved with high accuracy. For better comparison, the best results of the Canny method on bank of valid data are produced by GENETIC ALGORITHM and compared with proposed method results. Simulations show an increment of 4% to 13% in the performance measure for the proposed method. Visual comparison also shows a better performance of the proposed method in detecting and resolving edges.

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APA: Copy

SALIMIAN RIZI, M., MEHRSHAD, N., & RAZAVI, S.M.. (2012). A NEW ADAPTIVE METHOD FOR EDGE DETECTION USING FUZZY MODELING OF MULTI-SCALE ANALYSIS IN HUMAN’S RETINA. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 3(1 (6)), 37-45. SID. https://sid.ir/paper/202967/en

Vancouver: Copy

SALIMIAN RIZI M., MEHRSHAD N., RAZAVI S.M.. A NEW ADAPTIVE METHOD FOR EDGE DETECTION USING FUZZY MODELING OF MULTI-SCALE ANALYSIS IN HUMAN’S RETINA. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2012;3(1 (6)):37-45. Available from: https://sid.ir/paper/202967/en

IEEE: Copy

M. SALIMIAN RIZI, N. MEHRSHAD, and S.M. RAZAVI, “A NEW ADAPTIVE METHOD FOR EDGE DETECTION USING FUZZY MODELING OF MULTI-SCALE ANALYSIS IN HUMAN’S RETINA,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 3, no. 1 (6), pp. 37–45, 2012, [Online]. Available: https://sid.ir/paper/202967/en

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