本文提出了基于子图像特征融合的商标图像检索算法,并对子图像特征融合准则进行了研究。
This paper puts forward the trademark image retrieval algorithm based on the subimage feature fusion, and does research on the subimage feature fusion criterions.
该文对商标图像检索中的子图像特征融合准则进行了研究,根据子图像可信度对子图像特征融合准则进行加权改进。
This paper researches the sub image feature fusion rules in the trademark image retrieval, and improves the sub image feature fusion rules by weighting based on the sub image reliability.
分析结果表明:现有方法的融合准则不能很好地适用于高频段包含大量重要信息的源图像的融合。
The analysis shows that their underlying fusion criteria are unsuitable for preserving high-frequency detail information of source images.
应用推荐