Objective Quality Assessment of Image Enhancement Methods in Digital Mammography - A Comparative Study

摘要: Mammography is the primary and most reliable technique for detection of breast cancer. Mammograms are examined presence malignant masses indirect signs malignancy such as micro calcifications, architectural distortion bilateral asymmetry. However, X-ray images taken with low radiation dosage which results in contrast, noisy images. Also, malignancies dense difficult to detect due opaque uniform background mammograms. Hence, techniques improving visual screening mammograms essential. Image enhancement used improve quality This paper presents comparative study different preprocessing mini-MIAS data base. Performance image evaluated using objective assessment techniques. They include simple statistical error metrics like PSNR human system (HVS) feature based SSIM, NCC, UIQI, Discrete Entropy