Contrast enhancement is an important issue in the field of mammographic image processing. It can be classified into two categories: direct contrast enhancement and in direct contrast enhancement. Indirect contrast enhancement involves in modifying histogram of the image. Histogram equalization (HE) is the simplest indirect contrast enhancement technique which is widely used for contrast enhancement. Many variants of HE are proposed so far. Comparison of these techniques is significantly essential in deciding a suitable algorithm for enhancement and further processing. In this paper we applied few indirect contrast enhancement techniques namely histogram equalization, CLAHE, BBHE, RMSHE, MMBEBHE to preprocess the mammographic images. The performance of the methods is measured using effective measure of enhancement (EME) and peak signal to noise ratio (PSNR).
Akila, K., Jayashree, L. S., & Vasuki, A. (2015). Mammographic image enhancement using indirect contrast enhancement techniques - A comparative study. In Procedia Computer Science (Vol. 47, pp. 255–261). Elsevier B.V. https://doi.org/10.1016/j.procs.2015.03.205