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22 May 2002 Closed-boundary extraction of cancer cells using fuzzy edge linking technique
Wing-Kuen Ling, Kwong-Shun Tam
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Proceedings Volume 4667, Image Processing: Algorithms and Systems; (2002) https://doi.org/10.1117/12.467993
Event: Electronic Imaging, 2002, San Jose, California, United States
Abstract
Edge linking is an important task in a boundary extraction problem. In this paper, a fuzzy approach is proposed. The proposed system consists of a fuzzy edge detection module and a fuzzy edge linking module, respectively. The fuzzy edge detector gives a fuzzy membership matrix and an initial edge map. Once the initial edge map is obtained, the pairing of the start and end points of the edges as well as the linking of appropriate segments of edges in the map can be found using the fuzzy edge linking module, as follows: First, for any start point, the corresponding end point is found by searching for the shortest distance between the points. Second, for any start point as a reference point, we search for the greatest fuzzy membership value among its neighbors, and connect the reference point to that neighbor. Then with that neighbor as the new reference point, this step of searching is repeated until the end point is reached. After applying the above technique to all the pairs of start and end points, all the open boundaries will be connected. A simulation evaluation of the proposed technique was carried out on an image 'Cancer.' The simulation result shows an improvement on the outlines of the cancer cells. The proposed algorithm is simple and low cost, and can be implemented easily in some real-time applications.
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Wing-Kuen Ling and Kwong-Shun Tam "Closed-boundary extraction of cancer cells using fuzzy edge linking technique", Proc. SPIE 4667, Image Processing: Algorithms and Systems, (22 May 2002); https://doi.org/10.1117/12.467993
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KEYWORDS
Cancer
Fuzzy logic
Computer simulations
Lithium
Edge detection
Image processing
Sensors
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