Integration of Contourlet Transform and Canny Edge Detector for Brain Image Segmentation

Abstract

This paper proposed a new integrated image segmentation method for MRI brain images. In this method we have used a new transformation called Contourlet Transform which is integrated with canny edge detector. For a better segmentation we have applied an enhancement function on the contourlet coefficients before applying canny edge detector. The experimental results shows that using canny edge detector after enhancing the image by contourlet transform along with an enhancement function, the brain MRI image can be segmented very efficiently which can outperforms other conventional methods.