Implementation of Marker based Watershed Image Segmentation on Magnetic Resonance Imaging
Ayesha Khalid Khan, Gulistan Raja, Ahmad Khalil Khan · 2013
Medical image segmentation is a prominent method to segment out specific regions of a given medical image. In this research paper we have implemented marker based watershe d segmentation technique by applying different detection operators on MRI test images. The image is converted into grey scale and then its gradient magnitude image is found by different detection operators. The thresholded image is taken to show the image details in binary representation. The binary image is processed using marker based watershed technique for segmentation where different morphological operations are performed. Image parameters of the segmented image with respect to the input image in the o ptimum range are computed. The output shows the successful segmentation of different regions of the MRI. The results are evaluated on the basis of different image parameters namely Structural Similarity Index Measure (SSIM), Normalized - Cross Correlation (N CC), Mean Square Error (MSE) and Standard Deviation (SD). This technique has been implemented in the MATLAB 7.6.0(R2008a) . ( Ayesha Khalid Khan, Gulistan Raja and Ahmad Khalil Khan . Implementation of Marker based Watershed Image Segmentation on Magnetic Res onance Imaging. Life Sci J 2013;10(2): 115 - 118 ) . (ISSN:1097 - 8135). http://www.lifesciencesite.com . 18