Digital Image Processing

Digital image processing is the use of computer algorithms perform image processing on digital images. As a subcategory or field of digital signal processing, Digital image processing has many advantage over analog image processing. It allow a much wider range of algorithm to be applied to the input data And it can avoid problems such as the buildup of noise and signal distortion during processing. A digital image is a affirmation of a two-dimensional image as a precise set of digital tenets called picture elements or pixels. Pixel values typically represent gray levels, colors, heights, opacities etc. In this study, morphological transform operation is carried out on medical images to enhance the dissimilitude and quality. A disk shaped mask is used in Top-Hat and Bottom-Hat convert and this mask plays a vital role in the operation. Different types and sizes of medical images need different masks so that they can be successfully enhanced. The method shown in this study takes a mask of an arbitrary size and keeps varying its size until an optimum enhanced image is obtained from the transformation operation. The enhancement is achieved via an iterative exfoliation process. The results indicate that this method improves the dissimilitude of medical images and can help with better diagnosis. Image is the main source of human access and exchange of information. The application of digital image processing in medical engineering is very scopic, and the result is very effective. Medical digital image processing can reduce the effect of noise, enhance the image and improve its quality. Processed images can accurately reflect the focus of disease and visually communicate medical and pathological information of the image.