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- W2373377768 abstract "Edge detection is a highly parallel algorithm with great computation.It is difficult to increase the speed of the algorithm by CPU to satisfy the real time application.Aiming at the compute-intensive character of image edge detection,this paper analyzed some methods of edge detection based on CPU,using the programmer friendly CUDA framework,and proposed a method based on GPU,to realize the image edge detection.The efficient architecture of GPU was introduced firstly.Then,two representative image edge detection algorithms,Roberts and Sobel,were implemented on GPU.At last,using the same market price level CPU and GPU as hardware platform,and using various resolution images as test data,compared the computational efficiency of GPU and CPU.Numerical experiments show that the speed of the algorithm can be improved by up to more than 17 times compared with CPU-based implementations,with the same processing results.It proves that the GPU is practical for some applications of image processing." @default.
- W2373377768 created "2016-06-24" @default.
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- W2373377768 date "2010-01-01" @default.
- W2373377768 modified "2023-09-26" @default.
- W2373377768 title "Edge Detection Based on GPU" @default.
- W2373377768 hasPublicationYear "2010" @default.
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