Tissue segmentation based on 3D morphology and 3D seed filling
Zhiguo Jiang · Chinese Journal of Stereology and Image Analysis · 2008
A method based on 3D mathematical morphology theory and 3D seed filling algorithm is present for the segmentation of complicated tissue.Firstly,two thresholds were chosen to make the original 3D regular data set to be binary dataset;Secondly,the 3D mathematical morphology erosion operator was applied to cut off the weak linkage relation between the complicated tissue and other tissues,and the adjacent connection relationship of the voxel(volume element) in the complicated tissue was labeled,then the complicated tissue template was extracted.Thirdly,the 3D mathematical morphology dilation operator was applied to the extracted tissue template to recover the tissue from the erosion template.Finally,an improved effective 3D seed fill algorithm was proposed to obtain the accurate complicated tissue.Experimental results show that the segmentation method is effective.