在双波散射激光图像中提取目标特征实现目标识别。针对亮点特征提取误差较大,收敛性不好的问题,提出基于Harris角点检测的双波散射激光图像目标提取方法。首先对采集的双波散射激光图像进行图像降噪滤波处理,对降噪处理后的图像采用差分进化控制方法进行图像增强,突出目标图像的特征兴趣点,然后对增强图像进行Harris角点检测和信息融合,实现目标特征提取和图像识别。最后通过仿真实验进行性能测试,结果表明,采用所提方法进行双波散射激光图像中的目标提取,提高了图像的输出信噪比,图像识别的精度提高,时间开销较小,具有优越性。
In the double wave scattering laser image to extract target feature to achieve target recognition. The highlight feature extraction for the larger error, bad convergence problem, put forward based on Harris comer detection of double wave scattering laser image target extraction method. First to collect images of double wave scattering laser image noise filtering processing, the processed image is for noise reduction using differential evolution control method to image enhancement, highlight the characteristics of the target image point of interest, and then to enhance image Harris comer detection and information fusion, and achieve the target feature extraction and image recognition. Finally, the simulation performance testing, the results show that the proposed method is adopted to improve the target of double wave scattering laser image to extract, increase the output signal-to-noise ratio of the image, image recognition accuracy, spending less time, has the superiority.