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

作　　者：刘紫燕[1] 祁佳[1] 

机构地区：[1]贵州大学计算机科学与信息学院,贵州贵阳550025

出　　处：《电子技术应用》2013年第9期132-134,138,共4页Application of Electronic Technique

基　　金：贵州省自然科学技术基金资助项目(黔科合J字[2011]2193号)

摘　　要：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.

关 键 词：形态学 闭运算 腐蚀膨胀 FPGA 边缘检测 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]