根据当前硬件实时图像边缘检测易受噪声影响的特点,采用了对图像进行高通滤波预处理,提取边缘特征之后再使用Sobel算子进行边缘检测的方法,并且为了提高芯片资源利用率,利用Xilinx公司FPGA的动态可重构特性,对高通滤波和Sobel算法进行分时复用,通过比较,证明取得了理想的效果.%According to the characteristics of current hardware real-time image edge detection which is susceptible to noise, using a high-pass filter preprocess the image,the edge feature before using the Sobel edge operator for edge detection is extracted. In order to improve the utilization of chip resources, the dynamically reconfiguration of FPGA features of Xilinx Company is used to time division multiplex between the high-pass filtering and Sobel algorithm. By comparison, it is achieved the desired results.
展开▼