Topic
Canny edge detector
About: Canny edge detector is a research topic. Over the lifetime, 5399 publications have been published within this topic receiving 88139 citations.
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TL;DR: An extension of edge detectors based on second-order differential operators to the case of multiple band (color) images is proposed, and a local directional measure of multispectral contrast is defined.
289 citations
TL;DR: The theoretical analysis of the influence of noise on the location and the orientation of an edge is presented and reveals that the accuracy of the proposed approach is virtually unaffected by the additive noise.
246 citations
TL;DR: A curvature-based corner detector that detects both fine and coarse features accurately at low computational cost and forms extremely well in both fields is proposed.
Abstract: This paper proposes a curvature-based corner detector that detects both fine and coarse features accurately at low computational cost. First, it extracts contours from a Canny edge map. Second, it com- putes the absolute value of curvature of each point on a contour at a low scale and regards local maxima of absolute curvature as initial corner candidates. Third, it uses an adaptive curvature threshold to remove round corners from the initial list. Finally, false corners due to quantiza- tion noise and trivial details are eliminated by evaluating the angles of corner candidates in a dynamic region of support. The proposed detector was compared with popular corner detectors on planar curves and gray- level images, respectively, in a subjective manner as well as with a fea- ture correspondence test. Results reveal that the proposed detector per- forms extremely well in both fields. © 2008 Society of Photo-Optical
246 citations
TL;DR: The concepts of art “edge activity index” and a “locally adaptive threshold” are introduced and shown to improve the performance of this method as well as other edge operators such as Kitsch and Sobel.
245 citations
TL;DR: In a contour detection task, the Canny operator augmented with the proposed suppression and post-processing step achieves better results than the traditional Canny edge detector and the SUSAN edge detector.
238 citations