Research of Medical Image Segmentation Based on Marker Extraction Watershed Algorithm
Le Li · Journal of Zhongyuan University of Technology · 2012
In view of the medical image segmentation in the over-segmentation of the watershed algorithm,this paper proposes an improved watershed algorithm based on marker extraction.Improved algorithm of watershed algorithm are two improvements: First,the preprocessing stage: the original image is handled by corrosion filter and expansion filter.Then,the original image adds the corrosion image and subtracts expansion image.The result is called Merging image,that is handled by open operation and close operation so as to eliminate the noise and the perceptual information in the original image,to retain the original structural information of the image;Second,segmentation stage: After the opening and closing operation,the image is segmented by Watershed Algorithm,that is composed of three parts: morphological gradient calculation,Marker extraction and watershed segmentation.Improved algorithm doesn't need merge segmentation region,therefore,reducing the complexity of segmentation.At the same time,the improved algorithm can efficiently suppress over-segmentation phenomenon in a medical image of the brain,and makes the lesion area of the image to be effectively split.