An adaptive multi-threshold selection method based on index of fuzziness

To solve the problems of automatically getting the window size and searching zone for traditional segmentation methods, an adaptive multi-threshold selection method based on index of fuzziness was proposed. By utilizing the statistic characteristic of the gray disturbing and the histogram peak information, the window width of predetermined subjection function and the threshold searching zone were determined automatically. It is useful for expanding the applicable range of threshold segmentation based on index of fuzziness. The experimented results show that the good segmented results can be achieved by the method for the image which histogram presents multi-peak distribution.