全局閾值分割對于小目標(biāo)物效果不理想，動態(tài)閾值容易產(chǎn)生陰影等干擾，但綜合考慮全局閾值和動態(tài)閾值可以達(dá)到比較理想的結(jié)果。模糊C均值算法用于灰度圖像分割是一種非監(jiān)督模糊聚類后再標(biāo)定的過程，該文在不明顯增加運算量的前提下，利用模糊C均值自動聚類的功能分別得到全局閾值和動態(tài)閾值，完成對閾值矩陣的構(gòu)造和圖像的分割。
The global threshold may not work well for image segmentation with small objects. The image segmented by single dynamic threshold usually contains interference like shadow. The gray image segmentation is a process that the image is labeled after an unsupervised clustering by Fuzzy C-Means(FCM). In consideration without increase of computation complexity, we propose an algorithm for gray image segmentation by creating a threshold matrix obtained by global threshold and dynamic threshold that are the FCM clustering results.