Gradient-Based Edge Detection of Songket Motifs
نویسندگان
چکیده
This paper discussed the effectiveness of several popular gradientbased edge detection techniques when applied on binary images of songket motifs. Five edge detector algorithms that is Roberts, Sobel, Prewitt, Laplacian of Gaussian and Canny are applied to twenty-five Malaysian traditional songket motifs. These scanned motif images are initially preprocessed to remove noise using several morphological operations. Other than noise removal, binarization of color images are also done to produce binary images. To determine the performance of the edge detectors, the results are evaluated by five human subjects based on several pre-conceived criteria.
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تاریخ انتشار 2003