AUTOMATIC SPLITTING AND SEPARATING OVERLAPPED OBJECTS IN TARGET-SEGMENTED IMAGE
Rusong Meng · Chinese Journal of Stereology and Image Analysis · 2003
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.