The Establish Of Color Metallography Computer-Aided Analysis System & The Research On Color Image Segmentation

Compared with traditional quantitative analysis of metallography (QAM), computer-aided QAM has more advantages such as faster speed, high efficiency, more credible, reproducibility easily. With the development of computer technology, it is inevitably that the computer-aided QAM will take the place of the traditional QAM.But, in recently two or three decades in China, the research on computer-aided QAM stays on the grey; this is insufficiency in some quantitative metallography assignment because of the improvement of the QAM requirement and precision. With the rapidly development of color image processing and the computer storage, in many academe color metallography is being used in QAM to get more information because of its intensive contrast and strong discrimination.We developed the Color Metallography Image Compute-aided Analysis System (CMAS). The System is composed of an XJL-02 standing microscopy, a CCD camera system, a video image sampling card, a computer system and the software what we developed specially for this system. Furthermore, it provides many powerful functions including image recording, image sampling, image processing, parameter measurement, result analysis and so on.According to the characters of color metallography image, we implemented various kinds of color image processing approaches, including color enhancement (Hue/Saturation adjustment, Brightness/Contrast adjustment, multi-channel color adjustment), color transform (color to gray, true color to 256 colors), vector filtering, and most of important, color image segmentation (clustering, threshold, region growing, edge detection). All of these are the important parts of CMAS.