The image enhancement techniques have become an important pre-processing tool for digital vision processing applications, where one of the most common degradations in images is their poor contrast quality. This suggests the use of contrast enhancement methods as an attempt to modify the intensity distribution of the image. The main objective of this paper is the analysis of mathematical morphological approach with comparison to various other state-of-art techniques for addressing the problems of low contrast in images. A technique used for contrast enhancement is the combined use of the top-hat bottom-hat transforms and logical operations. Histogram Equalization (HE) is one of the common methods used for improving contrast in digital images. This method is simple and effective for global contrast enhancement of images, but it suffers from some drawbacks. Contrast Limited Adaptive Histogram Equalization (CLAHE) enhances the local contrast of the images without the amplification of the noise. The proposed technique is best while compared qualitatively and quantitatively with existing technique.