An Improved Technique for Gray Scale Image Enhancement based on Multiscale Morphological Approach

A method for enhancing the contrast of gray scale images using multiscale mathematical morphology is presented in this paper. The conventional theoretical concept of enhancing image has been extended from mathematical morphology to multiscale mathematical morphological approach. Gray scale images sometimes suffer from lack of contrast. So to enhance image efficiently a multiscale top hat transform based algorithm is proposed. In this algorithm multiscale structuring element of same shape and increasing size is used. By using multiscale top hat transform both white and black features at various scales of gray scale image are extracted and these features are added together to find the final enhanced image. For implementing scheme different morphological towers are built. Experiment has been performed on a set of raw gray scale images for testing efficiency both qualitatively and quantitatively and result is also compared with other state of art techniques and gets better result.