JOURNAL OF TEXTILE RESEARCH ›› 2006, Vol. 27 ›› Issue (2): 33-36.

• 研究探讨 • Previous Articles     Next Articles

Image segmentation based on the minimum risk Bayes decision

BAO Xiao-min;WANG Ya-ming   

  1. Research Center for Computer Vision and Pattern Recognition;Zhejiang Sci-Tech University;Hangzhou;Zhejiang 310018;China
  • Received:2005-01-26 Revised:2005-10-09 Online:2006-02-15 Published:2006-02-15

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.

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