对图像边缘特征的提取是图像处理中一项非常重要的研究内容。相比于角点信息，边缘信息对观测目标具有更丰富的表示含义，对目标外形轮廓的精确提取具有重要的研究意义。随着探测器分辨率的提升以及对数据更新率要求的提高，开发能快速高效地实现边缘提取的算法已成为人们研究的热点。着重研究了高精度图像处理算法的FPGA实现技术，并利用FPGA独有的并行流水线处理机制实现了高斯滤波、sobel算子和非极大值抑制等图像处理的基本运算。

The extraction of image edge features is very important in the processing of images. Compared with the corner information, the edge information contains richer representation mean of the target to be observed. It is of significance to the accurate extraction of target contour. With the improvement of detector’s resolution and the increase of data update rate, development of the algorithms for fast and effective edge extraction has been one of the research hotspots. The technique for implementing high-precision image processing algorithms using FPGA is studied emphatically. The basic image processing operations such as Gaussian filter, sobel operator and non-maxima suppression are implemented by using the unique parallel pipeline processing mechanism of FPGA.