Dithering techniques and segmentation analysis on a mammogram breast cancer image

Abstract

The objective of the publishing industry is to minimize the number of colors in an image for printing. Also, to retain the better quality from the picture, some useful techniques are needed with the aid of only a few colors. The contouring consequences occur when an image quantized bluntly regardless of the quantization, either uniform or non-uniform. To alleviate the issues of contouring, a slight amount of random noise is added (dithered) to the original image, followed by the quantization method. The methods such as dithering and half toning are extensively used strategies in acquiring texts and pictures in books, newspapers, magazines, computer monitors, and LCDs. This article investigates the dithering technique on a mammogram image with different procedures, such as dithering followed by quantization and dithering, quantization followed by filtering are detailed with Mean Square Error (MSE) and Peak Signal-to-Noise Ratio (PSNR) results. For better visualization, segmentation techniques are applied to the dithering technique.