一种工业恶劣环境下的图像二值化方法及FPGA实现  

Research on Image Binarization in Industrial Harsh Environment and Implementation on FPGA

作　　者：张梅[1] 王涛[1] 

机构地区：[1]江苏自动化研究所计算机事业部,连云港222006

出　　处：《微型电脑应用》2017年第7期69-72,共4页Microcomputer Applications

摘　　要：针对工业恶劣环境情况,在研究Canny算法的基础上,对其进行了中值滤波改进。根据改进的Canny算子边缘信息,将最佳全局阈值法与局部阈值自适应法在边缘信息的基础上融合起来,对图像进行了二值化处理,讨论了算法的FPGA实现方法。实验表明此算法在二值化图像时具有良好的效果,能较好的保留图像的边缘信息。As to the industrial harsh environment, the paper firstly described the Canny algorithm and median filter improve- ment. Then, based on the edge information of improved Canny algorithm, authors carried out image binarizing process which combined the optimal global threshold and local adaptive threshold. At last, the FPGA implementation principles were dis- cussed. The results showed that the method was available to binarize images and get image edge information in high quality.

关 键 词：图像二值化 恶劣环境 CANNY FPGA 

分 类 号：TM46[电气工程—电器]