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Improvements in Edge Detection Based on Mathematical Morphology and Wavelet Transform using Fuzzy Rules

Authors: Masrour Dowlatabadi, Jalil Shirazi


In this paper, an improved edge detection algorithm based on fuzzy combination of mathematical morphology and wavelet transform is proposed. The combined method is proposed to overcome the limitation of wavelet based edge detection and mathematical morphology based edge detection in noisy images. Experimental results show superiority of the proposed method, as compared to the traditional Prewitt, wavelet based and morphology based edge detection methods. The proposed method is an effective edge detection method for noisy image and keeps clear and continuous edges.

Keywords: Fuzzy Logic, Wavelet Transform, Edge Detection, Mathematical morphology

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