Segmentation of medical images based on GFO and marker-controlled watershed
Wufan Chen · Optical Technique · 2008
Tranditional watershed segmentation is implemented based on the edge-extracted image from the original image.The conventional edgedetecting algorithms have not prior information as well as shape restriction.Because the changing pathology and the inherent property of fuzzy imaging data,the conventional edge-detecting can hardly guide watershed algorithm converging into the correct object contour;the resultant watershed algorithm is subjected to image noise and over-segmentation.To improve marker-controlled watershed segmentation is proposed using the edge-detecting algorithm based on Generalized Fuzzy Operator.Seeing from the results,the proposed method is very adaptive to the segmentation of the clinical images.