摘要
为了提高不等厚工件数字射线照相(DR)图像的信息量,将小波图像融合技术应用于两个不同X射线能量下的DR图像的融合。首先,利用小波变换对待融合图像进行多分辨率分解,采用加权平均法提取低频系数;然后利用八个方向掩模计算局部梯度,基于局部梯度选择融合高频系数;最后基于小波融合系数逆变换实现图像的融合处理。利用熵、空间频率等客观参数对融合图像进行评价。结果表明,此方法可以得到理想的融合效果。
In order to increase the digital radiography(DR) image information of the object with uneven thickness,a fusion method based on wavelet transform on two DR images of different X-ray energy was introduced.Firstly,the input images were decomposed by wavelet transform.Secondly,the weighted average method was used to choose the weight coefficients of low frequency sub-image.And the eight directional masks were used to detect the local gradients.On the basis of the local gradients the fused high frequency coeffi...
出处
《无损检测》
北大核心
2008年第7期430-433,共4页
Nondestructive Testing
关键词
数字射线检测
图像融合
小波变换
边缘保护
噪声消除
Digital radiography
Image fusion
Wavelet transform
Edge protection
Noise elimination
