缺帧环境下遮挡图像的特征优化提取方法

摘要

针对缺帧环境下图像的遮挡问题,提出一种新的特征优化提取方法.建立缺帧环境下遮挡图像采集模型,在此基础上,利用正方形网格建立立体模型,实现图像采集.通过阈值降噪法完成对遮挡图像的降噪滤波处理.DCS-LBP算子通过梯度方向上变化的灰度值实现编码,效果不佳.通过GCS-LDP算子对其进行优化,将二者结合在一起,对缺帧环境下遮挡图像施行编码,获取最后的直方图;将该直方图看作遮挡图像的特征,完成遮挡图像特征的优化提取.实验结果表明,所提方法能够有效对缺帧环境下遮挡图像进行预处理;且识别效率高、计算量少.%A new method of feature extraction is proposed to solve the problem of image occlusion .In order to realize image acquisition , the image acquisition model is set up in the absence of frame .The noise reduction filte-ring of the occluded image is completed by threshold denoising method .The gray DCS-LBP operator by gradient di-rection change value encoding , poor effect, by optimizing the GCS-LDP operator, the two together on the lack of frame under the environment of the occluded image encoding implementation , the final histogram was got .The his-togram as features of images , the occluded image feature extraction was optimized .The experimental results show that the proposed method can effectively process the occluded image in the frame less environment , and the recogni-tion efficiency is high and the computation is less .