The Segmentation of Black Rot Lesion of Cruciferous Plant Based on Self-adaptive Fuzzy Threshold
基于自适应模糊阈值的植物黑腐病叶片病斑的分割

In order to better study plant black rot, the segmentation of black rot lesion image of cruciferous plant was carried out in this study. And the image fuzzy threshold method was used to fulfill the segmentation according to the characteristic of the lesions. First, due to the problem of automatic selection of window size for image thresholding by index of fuzziness, an adaptive window size selection method for image thresholding by index of fuzziness was put forward under a predetermined membership function and given the class numbers of image pixels.Then, image whose histogram possesses one mode or two modes with great disparity was difficult to be segmented using thresholding by index of fuzziness were studied, a histogram transformation method was presented. At last, the image could be segmented through the transformed histogram using the adaptive thresholding by index of fuzziness. The experiment results of lesion segmentation using the collected leaves show that the method proposed in this paper is of effective and robust.