Mineral Belt Image Segmentation Using Firefly Algorithm
2014 ◽
Vol 989-994
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pp. 4074-4077
Keyword(s):
Otsu is one of better image segmentation algorithm, which obtains optimum threshold by maximizing the between-class variance of an image. However, computation time will sharply increase as the threshold increase. In order to greatly improve the problem, a new segmentation algorithm called firefly algorithm based on Otsu’s method is presented in this paper, and applied the algorithm to segmentation of mineral belt image of shaking table, which lay the foundation for automation of shaking table. Experimental results show that the new algorithm can accurately segment different mineral belts and can obtain the same optimal thresholds and fitness values with Otsu’s method.
2009 ◽
Vol 29
(9)
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pp. 2398-2401
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Keyword(s):
Keyword(s):
2011 ◽
Vol 121-126
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pp. 2141-2145
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Keyword(s):