Level Set Method for Image Segmentation: A Survey

Abstract

A considerable challenge in image segmentation in real world images is intensity inhomogenity. The existing image segmentation algorithms rely on region based and it typically features similarity of image intensities in the region of interest. Due to the presence of intensity non uniformity the segmentation results are not accurate. So this survey paper gives a novel region based techniques for image segmentation in the presence of intensity inhomogenity. Intensity non uniformity occurs in real world images due to various factors such as spatial variations on illumination, imperfections of imaging devices, noise and of low contrast, causes many problems in image processing and computer vision. Image segmentation is a very difficult task in the presence of non uniformity of intensities. Intensity non uniformity is caused by the overlaps between the ranges of intensities in the region to be segmented. This paper covers segmentation techniques to overcome the intensity inhomogenity with the help of Level Set Method. The aim is to implement a level set approach for active contour image segmentation for MRI images. No requirement about object's shape and allowances for very flexible topology change are key advantages for this method. As an application our method can be used for