基于OpenCV的人脸图像预处理技术研究

对采集到的人脸图像进行预处理和训练,以改善图像的视觉效果,提高图像的清晰度,并且使图像更有利于计算机处理,便于对图像进行分割和边缘检测,从而提高人脸图像人别的准确率,为人脸的提取特征值和识别等操作做好准备.利用PCA人脸识别方法,实现简单且识别准确率高,OpenCV的特点是实现了图像处理和计算机视觉方面的很多通用算法,实验结果表明,通过预处理后的人脸图像识别效果更好,识别速度更快.

The study of the face images processing based on OpenCV

According to the collected face images, conducting the processing and training. To improve the im- ages of the visual affection and the clarity of the images, which enabled them more easily to computer process.- ing, facilitating images segmentation and edge detection, such as improving the detection accuracy of the face images, preparing for the face feature extraction values and identification operations. Using PCA face recognitior~ method, for its simple and accurate identification rate, the characteristics of OpenCV provide many common a~- gorithms of image processing and computer vision. The experimental results show that, after pretreatment of the images, it has a better face recognition affection and recognition speed.