欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
提出一种基于粒子群优化的多特征融合的商标图像检索方法,该方法可自动优化多特征融合的权重,提高图像检索系统的自适应性,解决了多特征商标图像检索中的权重分配问题。在1000幅图像构成的商标图像库进行检索实验,实验结果表明,与基于单一特征的检索方法和一些多特征融合的检索方法相比,提出方法的检索性能最优。
英文摘要：
This paper develops a method of trademark image retrieval based on particle swarm optimization in multi-feature fusion.It can optimize the weights of multi-feature fusion automatically,improve self-adaptive of the image retrieval system,and solve the allocation problem of feature weights in the trademark image retrieval.After retrieving in the trademark image database constituted of 1000 images,the results show that the proposed method has a better retrieval performance than the single-feature-based retrieval methods and some multi-feature-fusion retrieval methods.
同期刊论文项目
同项目期刊论文
Quaternion Bessel–Fourier moments and their invariant descriptors for object reconstruction and reco
Removing Gaussian noise for colour images by quaternion representation and optimisation of weights i
A new deconvolution approach to robust fluence for intensity modulation under geometrical uncertaint
Quaternion Bessel-Fourier moments and their invariant descriptors for object reconstruction and reco
期刊信息
位置：