带钢缺陷图像局域方差相异度的融合规则研究

On the Image Fusion Rules of Strip Surface Defects Based on Dissimilarity Between Local Variances

当前应用在带钢表面缺陷图像的基于单个系数点的融合规则和基于区域系数特征的融合规则存在片面性、容易使融合图像失真等问题.针对以上问题,给出了一种新的融合规则.该融合规则在对小波分解后的高频子带进行融合时,充分考虑待融合图像的局域方差的相异度,并利用阈值来选择合适的融合规则.实验结果表明,该方法可以更好地保留图像的细节特征,且在冷轧带钢表面缺陷图像融合中有较好的适用性,具有一定的工程应用价值.

Nowadays the fusion rules of the images of strip surface defects are one-sided,since they are based on the single point coefficient and the features of regional coefficient,thus making the images easy to be distorted.To solve the problem,the new fusion rules are presented where the high-frequency sub-bands are fused together after wavelet decomposition,with the dissimilarity between the local variances of the two images to be fused taken fully into account,then the thresholds are set to select the appropriate fusion rules.Experimental results showed that the method proposed can keep up the image features in detail and is highly applicable to the image fusion of surface defects of cold-rolled strip.