摘要
在实时视频信号处理中,由于边缘检测等图像处理算法的数据量大,系统采用FPGA+DSP的图像处理方案。利用FPGA可对数据并行处理的特点,在FPGA中实现数据量大、处理速度要求高,但算法结构简单的低层处理算法。文中介绍了在FPGA中实现Sobel边缘检测算法的方法,并提出了自适应阈值的处理方案。实验结果证明,FPGA能够对实时视频信号完成Sobel边缘检测,且自适应阈值模块保证了系统在环境亮度变化的情况下,得到良好的边缘检测效果。
In real-time video signal processing,due to the large amount of data in image processing such as image edge detection,the system uses the FPGA ＋ DSP image processing program. With parallel processing of the data,FPGA is used to realize lower processing algorithms that process the amount of data with high processing speed and simple algorithm structure. The paper describes a method for Sobel edge detection based on FPGA,and proposes an adaptive threshold processing method. Experimental results show that FPGA is able to complete Sobel edge detection of real-time video signals. Adaptive threshold module ensures the good effect of image edge detection of the system in case of changing ambient brightness.
出处
《电子科技》
2014年第9期62-64,共3页
Electronic Science and Technology
