image fusion evaluation criteria 融合评价准则
Image Fusion Evaluation Procedures 图像融合评价程序
metrics for image fusion evaluation 融合评价准则
evaluation of image fusion 图像融合效果评价
quality evaluation for image fusion 融合影像质量评价
In order to evaluate the quality of fused image, the merit and defect of every fusion method, there must be a set of objective and overall evaluation indexes in theory.
为了评价融合影像质量和各种融合方法的优缺点，理论上必须具备一套客观的、全面的评价指标。
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.
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。
Using these evaluation criteria, we study how the number of decomposition levels, different fusion rules or the size of region for measure influence the image fusion performance.
文中建立了几种评价方法和准则，利用这些评价准则，研究了分解层数、不同融合规则以及特性区域大小对融合性能的影响。
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