Medical Image Segmentation Based on Improved Watershed Algorithm

The medical images have pathological change region and background.The pathological change region that is so-called the region of interest(ROI) is the emphasis of image segmentation.Aimed at resolving the problems of sensitivity to noise and over-segmentation existing in traditional watershed algorithm,an image segmentation strategy on the combination of morphological filtering and multi-scale morphology gradient and marker controlled watershed is proposed.Firstly,use of mathematical morphological closed-open operation to filter out complete pretreatment original medical image to filter the noise and the non-perceptional information,in order to preserve the structural information of the original images;secondly,do closed operations smooth image,and calculate the image multi-scale morphology gradient,thirdly,watershed algorithm is reconstruced it and applied marker controlled to segment the reconstructed gradient image.Finally,the segmentation results is transfored to original scale.Simulation results show that the improvement can not only suppress the over-segmented phenomena properly.but also segment the pathological change regions in medical images efectively and segmentation algorithm is simple,and has the characteristics of multiple scales,thus is quite qualified for classification and information extraction of medical sensed imagery.