LYU Hong-li. Image segmentation based on multi-threshold fusion[J]. Journal of Light Industry, 2014, 29(2): 67-70. doi: 10.3969/j.issn.2095-476X.2014.02.017
Citation:
LYU Hong-li. Image segmentation based on multi-threshold fusion[J]. Journal of Light Industry, 2014, 29(2): 67-70.
doi:
10.3969/j.issn.2095-476X.2014.02.017
Image segmentation based on multi-threshold fusion
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Received Date:
2013-11-13
Available Online:
2014-03-15
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Abstract
Aiming at the problem that one kind of threshold segmentation algorithms was difficult for different images for effective segmentation,a multi-threshold algorithm fusion method based on introducing several common threshold segmentation algorithms was presented.This method got a set of thresholds by different algorithms and got a combination of them by organic iterative manner,and defined a reward function to select the optimal threshold.The experiment results showed that this method could be used for different types of image to get optimal threshold value for effective segmentation,eliminate the barriers which the user must have prior knowledge and eliminate the trouble of manually selecting segmentation method.
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