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.
基于小波变换的并以效果评价为反馈的图像融合算法，将其用于多聚焦图像融合中，能够一次就得到各个目标都比较清晰的融合图像。
An image fusion algorithm using transform and taking the evaluation of effect as feedback, using the algorithm in multi-focus image fusion, can get a fused image that all targets are more clearer.
最后从均值、信息熵、交叉熵、扭曲程度、相关系数等方面对融合后图像进行了评价，验证了算法的可行性。
Finally, evaluation is made from the following aspects: mean, entropy, cross entropy, distortion of the correlation coefficients and the feasibility of the method is verified in this paper.
最后从均值、信息熵、交叉熵、扭曲程度、相关系数等方面对融合后图像进行了评价，验证了算法的可行性。
Finally, evaluation is made from the following aspects: mean, entropy, cross entropy, distortion of the correlation coefficients and the feasibility of the method is verified in this paper.
应用推荐