Segmentation using region growing algorithm based on CLAHE for medical images

As medical images are mostly fuzzy in nature, segmentation of intensity based image is the most challenging task. A novel region growing segmentation algorithm for the image segmentation to detect tumor is presented where selective median filter is used for pre-processing. For enhancement Contrast Limited Adaptive Histogram Equalization (CLAHE) method is used. It is found that in the images processed with CLAHE, lesions appear obvious to the background and the image detail is very good. It is useful for radiologists to see subtle edge information, such as speculation. Next Scale Invariant Feature transform is used to automatically find growing seeds and the seeded region growing rule for the development of regions is able to detect both strong and weak edges, which is more suitable compared to other methods.