Comparison of Edge Detectors
نویسنده
چکیده
Edge detection is a fundamental task in computer vision. In this assignment, I compared six different algorithms for edge detection, including Sobel, Canny [2], BEL [3], gPb [1], Sketch Token [5], and Structured Forest [4]. The Berkeley Segmentation Dataset (BSDS300) [6] and benchmark are used to compare the edge detectors. For image processing methods, Canny and Sobel, the precisions are below 50% though their frame rate can up to 20 and 200 FPS. For learning based algorithms, gPb, Sketch Token, and Structured Forest have the precision above 70%. while Structured Forest has the best performance on speed.
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