Application of Medical Image Segmentation Based on Improved Watershed Segmentation Algorithm
Lihong Zhang · Video Engineering · 2011
There are pathological change region and background in the medical images.The pathological change region is the emphasis of image segmentation.In this paper,two methods have been introduced to resolve the over-segmented of watershed algorithm because of the sensitivity of noise and fine texture in the region-based segmentation process: firstly,the high-frequency emphasis filter is used in the original image for enhancement preprocessing,which can make up image contour,and also can highlight the image edge information so that the image looked more clearly;Secondly,the gradient-based watershed segmentation has been adopted by use of mended label symbol,and the entire segmentation process does not need region merging so that the complexity of segmentation is reduced.The improvement can not only suppress the over-segmented phenomena properly,but also segment the pathological change regions in medical images effectively.Moreover,the methods can be used in arbitrary shape ROI and is compatible with the standard of JPEG2000.