Image quality evaluation is an important field of image processing, but classical image quality evaluation method can not represent knowledge perceived by human eyes.
图像质量评价是图像处理领域中的重要方向，传统的图像质量评价方法不能有效的反映人眼对图像的视觉感知。
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。
The proposed new calculation method of image quality evaluation is based on a large number of systems theory and experiments.
本文提出的图像质量评价计算新算法是建立在系统的理论分析和大量的实验基础之上的。
An evaluation method of CCD is proposed by calculating edge pixels and analyzing image segmentation quality of particular regions.
通过统计特定区域的边界点和分析图像分割的效果，提出了一种评价CCD相关误差的方法。
An evaluation method of CCD is proposed by calculating edge pixels and analyzing image segmentation quality of particular regions.
通过统计特定区域的边界点和分析图像分割的效果，提出了一种评价CCD相关误差的方法。
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