International Journal of Advances in Computer Science and Its Applications
Author(s) : MASROURDOWLATABADI, JALILSHIRAZI
In this paper, we proposed an improved edge detection algorithm based on fuzzy combination of mathematical morphology and wavelet transform. We used type-1 and type-2 fuzzy rules. The proposed method overcomes 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 especially for noisy images and keeps clear and continuous edges.