Study of human face image edge detection based on DM642

Edge detection of human face is one of the important bases in human face detection and recognition. This article firstly summarizes the basic methods of edge detection and the basis of Sobel operator and Canny operator, then, from a practical perspective, puts forward an novel method that is based on the integration of improved Sobel operator and Canny operator, moreover its results are thinned lastly via the method of Improved OPTA. All of that above is implemented on TMS320 DM642EVM, using design Reference Framework 5 with high expansibility to design Application Program implemented by C and assembler mixed language, and afterward doing optimization according to the characteristics of DSP chip for the real-time purpose. The results testify that this approach is not only good at eliminating noise, but also can detect the edge quickly and completely, so it has well practical significance. All of that is a foregoing preparation for the achievement of the system of human face detection in application.