Graphs Based Line Segmentation on Cluttered
نویسندگان
چکیده
In this project, we introduce a distance function on a fuzzy subset that gives the minimum barrier that has to be passed to go from one point to another, see Figure 18. Theoretical properties as well as efficient computational solutions for minimum barrier distance have been developed. An initial application of minimum barrier distance in image segmentation is presented. The experiments show that the minimum barrier distance is robust to noise and blur, and also seed point position, since it captures the total change in membership values across an interface instead of gradient as a measure of slope that is sensitive to noise and blur. A paper on the theoretical foundation of the minimum barrier distance was written and accepted for publication in Computer Vision and Image Understanding and a paper on the vectorial minimum barrier distance was presented at ICPR’12, see Project 28.
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