Speedup segmentation of industrial DR image by CUDA
CUDA加速工业DR图像分割*

The segmentation of industrial DR image is very important to industrial image processing. C-V method has some advantage to industrial DR image segmentation. Due to its higher computing complexity, C-V method is rarely applied in a time-critical industrial environment. In this paper we present an efficient parallel implementation of DR image segmentation by C-V method with CUDA (computer united device architecture) and a method that separated data computing merged in corresponding thread by shared memory is used in this paper. Finally, we compare our results to the current applications on image processing workstation,our implementation exhibits a speed-up of 32 to 44 times compared to a state-of-the-art CPU.