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一种多特征融合的外观设计专利图像检索方法 被引量:5

Image retrieval method for design patent based on multi-feature fusion
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摘要 提出一种多特征融合的外观设计专利图像检索方法。采用Hu不变矩和高斯描绘子两种算法描述图像形状特征;采用加权法融合形状特征和Gabor小波提取的纹理特征;用Adaboost算法进行相关性反馈。实验结果表明,提出的方法可以有效地实现外观设计专利图像的检索。 An image retrieval method for design patent is proposed based on multi-feature fusion.Invariant moments and Gaussian descriptor describe shape features of design patent images.Shape features and texture features obtained by using Ga- bor wavelet are integrated with a weighted method.Adaboost algorithm is employed for relevance feedback.The experimental results indicate that the proposed method is feasible for design patent image retrieval.
出处 《计算机工程与应用》 CSCD 北大核心 2011年第14期166-169,共4页 Computer Engineering and Applications
基金 广东省产学研项目(No.2008B090500254)
关键词 外观设计专利 图像检索 高斯描绘子 多特征融合 design patent image retrieval Gaussian descriptor multi-feature fusion
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