实时图像边缘检测形态学优化设计及FPGA实现

Edge detection and morphology optimization of real-time image based on FPGA

利用Sobel算子对实时图像进行边缘检测,然后再对边缘检测之后的图像进行形态学的膨胀和腐蚀技术的优化,最后利用FPGA将形态学优化后的实时图像进行边缘检测。结果表明该方法能有效提高边缘检测的效果,检测出的图像边缘更加清晰,同时可大幅度滤除掉图像中的背景噪声。

The traditional sobel operator is only used for static image edge detection, in this paper, we detected the real-time image edge and then we used the morphological dilation and morphological erosion to make the real-time image edge better, after that, we implemented this optimized real-time image edge detection by morphology on FPGA. The results showed that, the algorithm in this paper can improve the edge detection effectively. Compared to Sobel operator, the real-time image edge was clearer and the background noise was filtered as well by using the algorithm in this paper.