四川大学学报（自然科学版）2012，Vol.49Issue(2)：356-360,5.DOI:10.3969/j.issn.0490-6756.2012.02.019
基于FCM和标记分水岭的粘连岩石颗粒图像分割
Image segmentation of overlapping rock particles based on FCM and labeling watershed
摘要
Abstract
FCM algorithm can achieve precise image segmentation by using various features of an image* but it can not segment overlapping object. The traditional watershed algorithm can obtain precise edges, but result in over-segmented. To solve this problem, a method for overlapping particle segmentation is proposed based on FCM and labeling watershed. First, FCM algorithm based on LUV model is applied to segment an original color image. Next, the impurities of the segmented image are removed and the empties are filled. Then, a distance transform and a local maximum search are performed to find the peak pixels as the seeds of the segmented regions. Finally, a labeling watershed algorithm is applied to the distance transform image to get the final segmented image. Experimental results showed that the method we proposed is efficient for segmentation of the overlapping rock particles.关键词
模糊C均值/标记分水岭/粘连岩石颗粒/图像分割Key words
FCM, labeling watershed, overlapping rock particles, image segmentation分类
信息技术与安全科学引用本文复制引用
王桂芹,王正勇,罗代升..基于FCM和标记分水岭的粘连岩石颗粒图像分割[J].四川大学学报（自然科学版）,2012,49(2):356-360,5.基金项目
中央高校基本科研业务费专项资金(2009SCU11009) （2009SCU11009）
四川省科技支撑计划(10ZC0968) （10ZC0968）
