一种基于复杂地物背景图像的目标识别方法

摘要

为解决复杂地物背景目标识别问题,提出一种基于复杂自然场景图像的目标识别方法.首先,进行多视点多尺度目标动态特征描述和目标轮廓特性视图制备;然后,采用灰度级顶帽形态学重构运算对输入图像进行处理,对处理后的图像进行分割,获得感兴趣区;最后,通过感兴趣区轮廓提取和基于Hausdorff距离匹配识别目标.实验结果表明,提出的方法能有效地从复杂自然场景中识别出目标.%A method of target recognition from images based on complex natural scenes is presented.Firstly, multi-scale and multi-view dynamic features are represented, and the contour characteristic views of the target are prepared. Then, an input image is processed using morphological grayscale reconstruction. The processed image is segmented and the regions of interest are obtained. Lastly, the target is recognized by contour extraction for the regions of interest and matching based on Hausdorff distance metric. The experiment results show that the proposed method can effectively recognize the target from complex natural scenes.