Brain tumor detection from clinical CT and MRI images using WT-FCM algorithm

The fast development of digital image processing leads to the growth of feature extraction of images which leads to the development of image fusion. There are two approaches to image fusions, wavelet transform and watershed algorithm. First, the source images are decomposed by wavelet to get the approximate and detailed coefficients of the images. Then the sub-image with the detailed coefficients are segmented with watershed algorithm to obtain the fused image. At last, the segmented images are fused using Wavelet Transform-Fuzzy C-Means (WT-FCM) algorithm. The experimental results show that the fusion effect using the proposed algorithm is better than the existing fusion techniques. We compute and compare the parameters like PSNR, Mean and Standard Deviation for the fused images to test the percentage level of the fusion.