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Multiple-Graphics Processing Units (Multi-GPUs) means using two or more display adapters in the same PC to speed up the graphics animation for gamers. In this paper, we provide a way of using multi-GPUs in image processing acceleration based on NVIDIA CUDA technique that makes the processing progress more flexible and controllable. For demonstration we deal with canny edge detection using GTX295, which with the power of two GeForce GTX 200 GPUs on a single card, we show how to use multi-GPUs when accelerating image processing. Also, we did some optimization work. We found out that in image processing which contains mass data and complex algorithm, by using multi-GPUs the processing time almost can be reduced to half; however in the case have less data and simple algorithm, the advantage of multi-GPUs is not obvious even takes more time.