基于多重分形广义维数的SAR图像边缘检测  

SAR image edge detection based on multi-fractal generalized dimension

作　　者：郝强[1] 

机构地区：[1]长治学院数学系,山西长治046011

出　　处：《计算机时代》2017年第6期36-39,共4页Computer Era

基　　金：长治学院校级科研项目(201515)

摘　　要：提出一种基于多重分形广义维数的合成孔径雷达图像边缘检测算法。该算法通过定义在图像灰度级上的测度,计算图像的多重分形广义维数,根据多重分形的广义维数,提取图像的边缘信息,并通过边缘点数、4-连通成分数等评价指标对检测结果进行评价。结果表明,该算法具有良好的边缘检测效果。In this paper, an algorithm for SAR （Synthetic Aperture Radar） image edge detection based on multi-fractal generalized dimension is proposed. The algorithm calculates the multi-fractal generalized dimension of image by defining a measurement on the image gray level, extracts the image edge information according to the multi-fractal generalized dimension, and evaluates the detection result according to the evaluation indexes including the number of edge point and the number of 4-connected component. Experimental results show that the algorithm has a good edge detection effect.

关 键 词：合成孔径雷达 多重分形 广义维数 边缘检测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]