Research on Design and Verification of Sobel Image Edge Detection Based on High Level Synthesis

Pan Chen, Ying Wang, Junhua Xing
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引用次数: 3

Abstract

Image edge detection technology is very important in the field of digital image processing, which is widely used in many fields,such as computer graphics processing, target matching, machine recognition, traffic control, national defense security and so on [1].Because of the complicated calculation steps of the image edge detection algorithm and the high processing speed requirements, it is difficult to meet the requirements only by software method, which is a problem of image edge detection. The design of FPGA can effectively solve the above disadvantages due to its parallelism and real-time performance, but the traditional FPGA development needs to master the hardware description language such as Verilog or VHDL design, which has long development cycles and high costs. In order to solve the above disadvantages effectively, this paper presents a method that using C and C++ language to develop Sobel algorithm by Vivado HLS(short for High Level Synthesis). The method can be implemented in FPGA design after High Level Synthesis, and provide a new design idea for software developers who are not familiar with the HDL language. Verified by theoretical analysis and simulation, using this algorithm can achieve a good image edge detection effect.
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基于高阶合成的索贝尔图像边缘检测设计与验证研究
图像边缘检测技术是数字图像处理领域中非常重要的一项技术,广泛应用于计算机图形处理、目标匹配、机器识别、交通控制、国防安全等诸多领域[1]。由于图像边缘检测算法的计算步骤复杂,处理速度要求高,仅用软件方法很难满足要求,这是图像边缘检测的一个问题。FPGA的设计由于其并行性和实时性可以有效地解决上述缺点,但传统的FPGA开发需要掌握Verilog或VHDL等硬件描述语言设计,开发周期长,成本高。为了有效地解决上述缺点,本文提出了一种使用C和c++语言用Vivado HLS(High Level Synthesis的缩写)开发Sobel算法的方法。该方法经高级综合后可在FPGA设计中实现,为不熟悉HDL语言的软件开发人员提供了一种新的设计思路。通过理论分析和仿真验证,采用该算法可以达到良好的图像边缘检测效果。
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