基于信息融合的图像边缘检测算法实现

Image Edge Detection Algorithm Based on Information Fusion

传统的利用各种算子的边缘检测方法,存在边缘缺失、边缘模糊、边缘不连续以及伪边缘等情况,不利于图像的进一步分析处理以及图像边缘的实际应用。在分析各种经典算子的基础上,采用信息融合的方法,结合各个经典算子的优点、弥补各自缺点进行图像的边缘检测。实验证明采用多算子信息融合的方法能更精确有效地提取出图像的边缘,对图像的进一步分析处理中具有重要意义。

Traditional edge detection methods using various operators have such problems as edge deletion, edge blurring, edge discontinuity, and pseudo-edge, which are not conducive to further analysis and processing of images and practical application of image edges. Based on the analysis of various classical operators, the method of information fusion is adopted to combine the advantages of each classic operator and make up for their shortcomings to perform edge detection of the image. Experiments show that the method of multi-operator information fusion can extract the edge of the image more effectively, which is of great significance in the further analysis and processing of the image.