JOURNAL OF TEXTILE RESEARCH ›› 2006, Vol. 27 ›› Issue (2): 33-36.
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BAO Xiao-min;WANG Ya-ming
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Abstract: For using machine vision technology to detect textile image,segmentation way of textile image is researched.By the minimum risk Bayes decision theory,this paper develops a new way of image segmentation: establish the mathematics model of image segmentation;estimate the probability density of grey scales and figure out its math-expectation and square difference that accord with normal distribution and the loss function;and judge the every pixel dot in the image according to the minimum risk Bayes decision theory and determine whether it is of target or non-target images,thereby realizing the extraction of the target image.The experimental results indicate that the method is efficient and practicable.
BAO Xiao-min;WANG Ya-ming. Image segmentation based on the minimum risk Bayes decision[J].JOURNAL OF TEXTILE RESEARCH, 2006, 27(2): 33-36.
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