摘要
Segmenting blurred and conglutinated bubbles in a flotation image is done using a new segmentation method based on Seed Region and Boundary Growing（SRBG）.Bright pixels located on bubble tops were extracted as the seed regions.Seed boundaries are divided into four curves：left-top,right-top,right-bottom, and left-bottom.Bubbles are segmented from the seed boundary by moving these curves to the bubble boundaries along the corresponding directions.The SRBG method can remove noisy areas and it avoids over- and under-segmentation problems.Each bubble is segmented separately rather than segmenting the entire flotation image.The segmentation results from the SRBG method are more accurate than those from the Watershed algorithm.
在一幅筹款图象分割模糊并且粘附的水泡基于种子区域并且边界成长(SRBG ) 用一个新分割方法被做。位于水泡顶的明亮的象素作为种子区域被提取。种子边界被划分成四条曲线：左顶、正确顶、正确底部、左底部。水泡被沿着相应方向移动这些曲线到水泡边界从种子边界分割。SRBG 方法能移开吵闹的区域，它避免在分割上和在分割下面问题。每个水泡独立被分割而非分割全部筹款图象。从 SRBG 方法的分割结果是比从分水岭算法的那些更精确的。
基金
supported in part by the National Science & Technology Support Plan of China(No.2009BAB48B02)
