基于小波分解，提出了一种融合算法，该算法在小波分解的子带图像中提取局部边缘信息作为融合规则，较好的实现了两幅互补皮革图像的融合。
Based on wavelet decomposition this paper presented a fusion algorithm, which extracted the local edge info in subband images as fusion rule and fused two leather images with complementarity.
最后通过一定的融合规则进行融合，得到最终的边缘图像。
The final edge images are obtained through a fusion in accordance to certain rules.
对于图像融合来说，融合规则和融合算子是十分重要的。
The fusion rules and fusion operators are very important for image fusion.
图像融合算法与融合规则是图像融合技术的关键课题。
Image fusion algorithms and fusion rules are important for image fusion technology.
图像融合过程采用了“选择”和“加权平均”混合的系数选择规则，在充分保留显著图像细节信息的前提下，进一步增强了算法的稳定性。
The combined rule of "selection" and "weighted averaging" is employed, which both preserves the source images' details and improves the algorithm's stability.
同时为配合预处理算法采用了梯度选取规则的融合算法，更好的提高融合后图像的质量。
At the same time to tie in with the pre-processing algorithm we used the fusion algorithm based on rules of gradient selection, it could better improve the quality of fused images.
针对图像融合的研究有很多方向，比如融合算法、融合规则、融合质量评价和融合图像的类型等。
The research on image fusion has a lot of aspects, such as fusion algorithms, fusion rules, fusion quality evaluation and the types of images.
创建融合图像是对至少两幅源图像，在空域或频域根据一定的规则加以组合，创建一个全新的图像；最后就是对融合图像的质量进行评价。
Fusion image is the creation of at least two source's image, in airspace or frequency domain based on certain rules of portfolio, and Create a brand new image, at last evaluation the image.
实验结果表明，该融合方法和融合规则是十分有效的，融合后图像的边缘和纹理细节都更加突出。
The experimental results show that the fusion method and fusion rule are very effective. The image edge and stripe detail can be more obvious after image fusion.
在阐述小波图像融合算法的基础上，针对小波分解后各频域融合算子和融合规则的选择，提出一种新的基于小波分解的图像融合算法。
Based on expatiating on image wavelet fusion algorithm, aimed at the choice of fusion rule and fusion operator, this paper presented a novel image fusion algorithm based on wavelet transform.
利用小波变换理论首先将谐波图像与基波图像进行分解，然后利用基于窗口的融合规则进行融合，最后利用小波逆变换重建图像。
The harmonic image and fundamental image are decomposed into sub-images with wavelet transform. Fusion is completed with rules based on Windows. Then fusion image is reconstructed.
利用小波变换理论首先将谐波图像与基波图像进行分解，然后利用基于窗口的融合规则进行融合，最后利用小波逆变换重建图像。
The harmonic image and fundamental image are decomposed into sub-images with wavelet transform. Fusion is completed with rules based on Windows. Then fusion image is reconstructed.
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