摘要
本文首先通过直方图均衡化等预处理方法增强图像的整体对比度,使图像的细节更加清晰。然后利用Gabor小波变换,选取不同的尺度和方向对人脸表情特征进行提取。最后通过实验结果对比证明预处理后的图片在进行小波变换时能节省大量的运算时间,并提高识别率。
At first, the paper enhances overall contrast of the images through histogram equalization processing to make images detail clearer. Then the paper uses the Gabor wavelet transform and selects different scales and direction to extract facial expression feature. Finally, by comparing experimental results, it proves that a lot of computing time can be saved and improves the recognition rate through wavelet transform processing the pre-images.
出处
《自动化技术与应用》
2012年第7期33-37,共5页
Techniques of Automation and Applications
