Abstract: With the quick development of general-computing on GPU,many jobs which were once implemented by CPU now can be delivered to GPU.In this paper,depending on the interoperability between CUDA and OpenGL,jobs of edge-detection on color image and displaying result are all finished by GPU,the only job for CPU is delivering data to GPU.By doing so,computing speed is increased and efficiency of GPU is maximized.The experimental results indicate that interoperability between CUDA and OpenGL is an effective method which can combine parallel processing capability of GPU and displaying capability of GPU.Compared with other 2 kinds of scheme which only uses CPU to process image and only uses GPU to parallelly compute data,this kind of scheme can achieve 80 times speedup when processing high resolution image.

Key words: Edge-detection,Interoperability,CUDA,OpenGL,Sobel