摘要
传统的边缘提取算法不能解决合成孔径雷达(SAR)图像小边缘、赘余边缘多的问题。针对SAR图像特点,提出一种改进的基于过渡区模糊增强边缘提取方法。通过分析经典模糊增强算法和改进的模糊增强算法的缺陷,在图像增强中引入过渡区概念,很好地克服了原来模糊增强算法渡越点选择不当造成的丢失目标边缘信息、边缘连通性不好、小边缘多等缺点。能够有效地提取出感兴趣目标的丰富的边缘信息,并且去除了很多小边缘赘余信息。对比实验结果证明该方法效果好。
At present,classlc image edge extraction algorithm is not very suitable for SAR image. Give a new fuzzy enhance algorithm for edge detection, based on analyzing the default of classic and improved fuzzy edge detecting ways. The algorithm adding one new pararneter that transition region information for the image enhancement. The algorithm not only overcome the weakness that original algorithms miss the informations of target, but also overcome the weakness that edge connectivity is not fine, it can detect completely information of interesting target. The simulation result proves that the algorithm is efficient,and the principle can be used for the other image processing algorithm.
出处
《计算机技术与发展》
2008年第4期22-24,28,共4页
Computer Technology and Development
基金
国家自然科学基金(40401003)
关键词
边缘提取
模糊增强
过渡区
SAP图像
边缘连通性
edge detection
fuzzy enhancement
transition region
SAR image
edge cormectivity
