摘要
边沿检测技术作为数字图像处理领域的重要一支,在目标匹配,交通管控,国防安全等多个领域有着广泛的应用,能够精确高效地实现边沿检测对于后续进行更高层次的图像识别以及图像处理有着密切的联系;为了实现实时有效的图像边沿检测提出了基于FPGA结合Sobel算法的实时图像边沿检测系统,硬件使用流水线结合并行处理的解决方案,能够有效提高图像处理的速度;算法设计采用Sobel算法,不但简化了运算同时获得了不错的检测效果;实验结果显示,系统可高效地达成实时图像边沿检测的设计目的,而且提升了图像的处理效率与边沿检测的效果,便于满足后续图像处理的要求。
Edge detection technology is an important part of digital image processing, which is widely used in target matching, traffic control and homeland security, it is of prime importance to realize accurate and efficient image edge detection of further imaging processing and image recognition. The system realized real time image edge detection based on FPGA and Sobel algorithm, pipelining and parallel pro cessing was used in hardware, which improved the speed of image processing. Sohel algorithm was used as image edge detection algorithm, it simplifies the operation and improves the detection effect. Experiment results show that the system designed in this paper can achieve real time image edge detection effectively, meanwhile, this system improves the speed of imaging processing, it can meet the needs of further imaging processing.
出处
《计算机测量与控制》
2017年第1期34-37,共4页
Computer Measurement &Control
基金
国家自然科学基金项目(61335008)
