Abstract: Aim To develop parallel processing in image processing based on multiprocessor. Methods The hardware platform of TMS320C80 was made, and Clanguage and two assembling languages were used to perform parallel processing. Results This image processing system can work in real time. It can reach the speed of 37 frames per second when extracting the edge, and 14 frames per second when using the method of correlation module matching to perform tracking. Conclusion parallel processing based on multiprocessor can process image in realtime,and reduce the complexity of the hardware system at the same time.The efficiency of parallel processing is mainly determined by the assignment of multi-task in multiprocessor and the parallel program structure in single processor.