一种改进的Canny算法及其仿真验证

为了提升Canny边缘检测的效果,并使之适用于FPGA平台,提出一种改进的Canny算法,并用C语言实现了该算法;将改进的Canny算法定点化处理并使用Verilog HDL语言进行描述,采用一种Matlab与Modelsim联合的仿真方法,进行了FPGA仿真实验,以对改进算法在FPGA上的性能进行评估。实验结果表明改进的算法检得边缘清晰且更细,所采用仿真方法是基于Modelsim平台使用Verilog HDL语言进行的,是一种验证FPGA上图像算法性能的新方法。

An improved Canny algorithm and its simulation verification

In order to improve an image edge detection effect of Canny algorithm and be applied to FPGA platform, a im- proved Canny algorithm is proposed in this paper. The algorithm was realized with C language on computer. The fixed-point pro- cessing for the improved Canny algorithm was performed. It is described with Verilog HDL. The simulation experiment was con- ducted by a co-simulating method which associates Matlab with Modelsim to assess the performance of the algorithm on FPGA. The result shows that the edges detected by the improved algorithm are more clear and thin. The co-simulating method is based on Modelsim, and Verilog HDL. It＇s a new method for verifying image processing algorithm on FPGA.