在这个过程中，融合360-独特的设计环境与机构和组件，您将了解的相似性，差异和最佳实践的几个设计路径。
In this course, Fusion 360 - Unique design Environment with Bodies and Components, you will learn about similarities, differences, and best practices on several design paths.
研究图像融合结果的质量评估问题，提出一种新的基于相似性的图像融合质量客观评估方法。
This paper considers the problem of quality assessment of image fusion result. A novel similarity-based measure for the performance of image fusion is proposed.
为此，从心理物理的角度出发，首先研究了匹配融合的特点和要求，提出匹配融合是建立在局域的相似性基础上的。
This is also one of the innovations of this paper. Firstly, from the view of psychophysical , we studied the characteristic and requirement of match and fusion.
针对不同特点的图像，融合不同的图像特征，并采用不同的相似性度量方法，提高了图像检索的准确率。
Fusing different image features and using different similarity measures depending on different characteristics improves the accuracy of image retrieval.
最后，融合这三种特征，把其作为图像的标志特征，进行相似性度量。
Finally, the three characteristics are combined as a symbol in image features, the similarity.
最后，融合这三种特征，把其作为图像的标志特征，进行相似性度量。
Finally, the three characteristics are combined as a symbol in image features, the similarity.
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