摘要
针对图像分析中获得的目标分割图上出现的多个对象相互粘连的情况,根据此粘连对象的形态特征,设计并实现了一种基于数学形态学水域生长的粘连对象自动切割和分离方法。该方法通过在目标图中进行腐蚀和膨胀处理,由极限腐蚀获得各个独立对象的核,再由这些对象核膨胀进行水域生长,产生分界线,最后达到自动切割、分离粘连对象的目的。本文给出了一种快速、有效、自动地实现了粘连对象的分离处理方法,成功地解决了目标粘连现象对后续分析、测量产生干扰的问题。
S In the target-segmented image, sometimes a few objects overlap together and this will interfere the subsequent analysis of the target. An automatic processing method based on mathematic morphology is presented in this paper to split and separate overlapped objects using watershed transform theory. The algorithm that involves erosion and dilation is designed for the purpose of automatic splitting and separating overlapped objects. It includes two steps: obtaining object-kernel according ultimate erosion and then giving dividing line by watershed expanding from the kernels. It is successful to solve the problem of overlapped objects with the high speed, the appropriate result and the automatic mode.
出处
《中国体视学与图像分析》
2003年第1期40-43,共4页
Chinese Journal of Stereology and Image Analysis
关键词
粘连对象
对象核
水域生长
分界线
Overlapped object
Object-kernel
Watershed expand
Dividing line
