计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (14): 166-169.
• 图形、图像、模式识别 • 上一篇 下一篇
张国宏，蔡 念，楼朋旭，戴青云
收稿日期:
修回日期:
出版日期:
发布日期:
ZHANG Guohong，CAI Nian，LOU Pengxu，DAI Qingyun
Received:
Revised:
Online:
Published:
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。
关键词: 外观设计专利, 图像检索, 高斯描绘子, 多特征融合
Abstract: 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 Gabor 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.
Key words: design patent, image retrieval, Gaussian descriptor, multi-feature fusion
张国宏，蔡 念，楼朋旭，戴青云. 一种多特征融合的外观设计专利图像检索方法[J]. 计算机工程与应用, 2011, 47(14): 166-169.
ZHANG Guohong，CAI Nian，LOU Pengxu，DAI Qingyun. Image retrieval method for design patent based on multi-feature fusion[J]. Computer Engineering and Applications, 2011, 47(14): 166-169.
0 / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://cea.ceaj.org/CN/
http://cea.ceaj.org/CN/Y2011/V47/I14/166
