The science growth brings many problems with large volume of calculation, however, during a certain time. The examples are 3D image processing problems, oil exploration, forecasting, multiple-target follow-up system requiring fast computation speed, eTạp chí (sequential processing such as von Neumann does not meet requirements). To solve these problems, it is researched to speed up by two methods or a combination of two methods that are (1) technology improvement to increase computer-processing speed, requiring more time, more expenses but brings speed limited and (2) division of the problems into smaller tasks to run parallel on multiple processors (functional decomposition problem). The most important principle of parallel processing is simultaneity, or processing multiple tasks simultaneously. The paper generally studies about parallel processing system and application of parallel processing problem in image parameters for very good results and faster program.