Underwater Image Segmentation using CLAHE Enhancement and Thresholding

The objects in the underwater images are not clearly visible due to low contrast and scattering of light and the large noise present in the environment. Hence it is difficult to segmentation in such environment without losing the details of the objects. In this paper a method of segmentation is presented for underwater images, in which the image quality is first enhanced using contrast limited adaptive histogram equalization method, and then histogram thresholding is used to segment the objects. Paper discusses the comparative analysis of various Histogram thresholding techniques. For comparing the performance, mean square error and SNR used as parameters. The method is tested on various type of underwater image environment.