基于改进Hough变换的建筑目标搜索与识别

Improved Classical Hough Transform Applied to Building Detection and Recognition

结合建筑物搜索与识别的实例,运用改进的Hough变换算法,对经过预处理的图像进行检测,提出了优化、合并、分组的线条分析策略和针对目标的排伪策略以确定目标可能出现的区域,进而排除虚假目标,最终获得目标准确的定位区域。实验结果表明,改进的Hough算法以及线条分析和排伪策略应用在实际的检测识别系统中时,对不同比例、不同视角、不同拍摄时间和条件、目标被部分遮挡的情况以及出现马赛克现象的各种实验图像都具有较好的识别效果。

In this paper, taking building detection and recognition as an instance, by using improved Hough transform, several line analysis strategies and measures to remove the inveracious targets are presented. The experimental results show that the approach with these methods can get acceptable results when image processing with scaling, different angles of view , various conditions of sunlight and mosaic phenomenon involved.