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Edge Detection Algorithms VS-active Contour for Sketch Matching: Comparative Study

並列摘要


Sketch based image retrieval method is still a new filed under development process in the research area. The main idea of image retrieval by sketch is to detect or bound the object in images which stored in the database and match it with a query which inserted as a sketch. This study displays the edge detection algorithms like (Sobel, Canny) and compare the results with contour active (Snakes) boundary methods. The results of those methods prepared to match with the query sketch. The experimental results show that Snakes algorithms registered as the best in matching process which fabricate a differentiated boundary detection of image objects. For more validity of this method used, the annotation of each matched image has been checked and approved that the contour (Snakes) boundary method is more precise in image retrieval.

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