잡음영상에서 로버스트 순위-순서 검정을 이용한 효과적인 에지검출 = Efficient Edge Detection in Noisy Images using Robust Rank-Order Test

다국어 초록 (Multilingual Abstract)

Edge detection has been widely used in computer vision and image processing. We describe a new edge detector based on the robust rank-order test which is a useful alternative to Wilcoxon test. Our method is based on detecting pixel intensity changes between two neighborhoods with a $r{\times}r$ window using an edge-height model to perform effectively on noisy images. Some experiments of our robust rank-order detector with several existing edge detectors are carried out on both synthetic images and real images with and without noise.

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