摘要
采用高性能嵌入式Cortex-A9处理器设计了一套图像边缘检测系统。主设备系统采用ARM-Linux嵌入式操作系统,利用Open CV捕获视频帧并使用改进Canny边缘检测算子对视频帧分析处理并实时显示。针对色彩与背景相似的物体、轮廓特征明显的物体和夜间环境下的物体边缘检测进行测试。实验结果表明,嵌入式平台能够达到和PC相同的检测效果,相比于传统Canny算子,改进的Canny边缘检测算子图像边缘检测系统的检测效果优秀和性能良好,具有很强的实时性和可靠性。
A high-performance embedded Cortex-A9 processor is used to design a set of image edge detection system. The main equipment system adopts ARM-Linux embedded operating system, uses OpenCV to capture the video frames and uses the improved Canny edge detection operator to analyze the video frames and display them in real time. For objects with similar color and background, objects with obvious outline features, and object edge detection under nighttime environment are tested. Experimental results show that the embedded platform can achieve the same detection effect as the PC. Compared with the traditional Canny operator, the improved Canny edge detection operator edge detection system has good detection performance and good performance, with strong real-time and reliability.
出处
《计算机应用与软件》
2017年第7期176-181,共6页
Computer Applications and Software
基金
国家自然科学基金项目(61164011)
江西省研究生创新专项资金项目(YC2016-S259)
