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基于蚁群算法和线段分析的建筑物特征提取
The Extraction of Building Based on Ant Colony Algorithm and the Analysis of Line Segment
【摘要】 针对航拍图像分辨率低、背景复杂等特点,研究了基于蚁群算法和线段分析的航拍图像建筑物识别方法。将蚁群算法首次运用到航拍图像的边缘提取上,在提取出目标的同时有效将干扰去除。根据蚁群算法提取的边缘连续性差的特点,利用直线的链码特征提取直线段,并在原始任明武链码跟踪算法的基础上设定首次跟踪方向和设置新的跟踪规则及新的链码分裂规则,使算法适合直线的跟踪与提取。将提取出的短直线段进行直线段的合并。最后用搜索矩形元的方法提取矩形建筑物。通过实验证明算法取得了很好的效果。
【Abstract】 Be aimed at the characteristics of aerial image of low-resolution and complex background,a method to extract building from the aerial image based on ant colony algorithm and the analysis of line was studied.Do the first attempt in academic circles to use Ant colony algorithm to extract the edges of the building in aerial image.The disturb objects were eliminated effectively while the objects were detected.Because of bad condition of the continuity of the edges,chain codes were used to detect the straight line segment,and improved REN Ming-wu chain codes tracking algorithm and chain codes division algorithm.Then the short line segments were merged.The buildings were extracted at last in the way of rectangle searching.There was a good result of algorithms.
【Key words】 image processing; building extraction; aerial image; ant colony algorithm; chain codesr; ectangle searching;
- 【文献出处】 红外技术 ,Infrared Technology , 编辑部邮箱 ,2009年02期
- 【分类号】TP391.41
- 【被引频次】6
- 【下载频次】294