图像的微分处理与相关识别

The differential coefficient process and correlation recognition of images

介绍了小波图像微分原理,并对图像的微分处理与相关识别进行了实验分析和研究。实验结果表明,对图像进行小波微分预处理后,可以有效地减少图像中的低频成份,这就使图像相关运算更多地比较了图像的细节变化,增加了相关图像的信息量,可以有效地提高图像的识别能力。

This paper describes the theory of wavelet images differential coefficient,and analyzes images differential coefficient and correlation recognition.Experimental results show the wavelet images differential coefficient can effectively decrease the low frequency elements of images,and then the correlation arithmetic processes further information in detail.So the correlation recognition method can increase the correlation information of images and increase the percentage of image recognition effectively.