Vol.3 No.3 (June 2013)
GPU-Based Parallel Prewitt Algorithm Implementation and Its Application on GPR
The edge of image is one of the important features of the image. Edge detection is an important means to extract image features. GPU-CUDA parallel technology, as the most popular high-performance processing technology, is the best choice for parallel Prewitt algorithm implementation. Since conventional Prewitt algorithm based on CPU is computationally intensive and time-consuming, its application is very restricted. In order to improve the efficiency of Prewitt algorithm, GPU-based parallel Prewitt algorithm and fast imaging algorithm are applied to get higher speedup. Finally, the method is proposed by turning the GPR field data into gray-scale image data, then implementation of GPR field data processing with the Prewitt algorithm based on GPU. It is proved that the algorithm is not only of high efficiency, but also effective to improve target identification capability.
彭土有 , 董清华 (2013) 基于GPU的Prewitt算法实现及其在探地雷达中的应用。 计算机科学与应用， 3， 153-158. doi: 10.12677/CSA.2013.33027
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