Clinical Image Processing Algorithm Based on Color-Analysis

Colors are the main components of image, especially the clinical image resources obtained by CCD. It consists of pixels for basic component units. The analysis and processing of the pixel is one of the most popular ways in graphic processing technologies. This paper indicates a self-adaptive color-analysis edge tracking method based on shape knowledge. It implements automatically locating image edge feature points. The experiment indicates the approach is fast and effective.