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21 September 2001 Split-and-merge segmentation using relation stable state
Mingwu Ren, Jingyu Yang, Han Sun, Zhenmin Tang
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Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001) https://doi.org/10.1117/12.441477
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
Te paper proposed a new segmentation method, which is based on the relation stable-state. The relation stable-state is derived from the fact that the contour of an object may be enlarged or shrunk while the threshold is changing, but times that boundary points visited by contours is more than times that inner points visited by contours. This relation is usual stable. Minimum area and edge intensity are the only two parameters needed in it. Under the control of these two parameters, it chooses contours in the original image; sums them into a contour image; extracts contours in the contour image, does merge-split process and region growing step by step. In fact, it integrated gray value, edge information and space connectivity smartly. Experiments show it can be applied to extract objects with multi-level perfectly even if the image is non-uniform illumination, thus it is more general and practical.
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Mingwu Ren, Jingyu Yang, Han Sun, and Zhenmin Tang "Split-and-merge segmentation using relation stable state", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); https://doi.org/10.1117/12.441477
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KEYWORDS
Image segmentation
Image processing
Edge detection
Binary data
Image processing algorithms and systems
Resistance
Image enhancement
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