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结合分类和索引技术进行基于图像内容的外观专利检索
引用本文:龚光军.结合分类和索引技术进行基于图像内容的外观专利检索[J].长春工程学院学报(自然科学版),2017,18(1).
作者姓名:龚光军
作者单位:安徽职业技术学院机械工程学院,合肥,230051
基金项目:安徽省质量工程教学研究项目
摘    要:与互联网上的通用图像相比,外观设计专利图像拥有一些其独有的特点。如,外观设计专利图像中图片质量较高,噪点较少。基于以上特点,提出了一种基于分类技术的外观设计专利图像检索方法。当检索图像以较高概率被正确分类,在该类别中检索;否则,在所有图像中检索,使用索引技术来加快检索速度。

关 键 词:基于内容的图像检索(CBIR)  外观设计专利图像  分类  索引

The Appearance Patent Retrieval Based on Image Designwith Technology of Classification and Indexing
GONG Guang-jun.The Appearance Patent Retrieval Based on Image Designwith Technology of Classification and Indexing[J].Journal of Changchun Institute of Technology(Natural Science Edition),2017,18(1).
Authors:GONG Guang-jun
Abstract:Compared to general images in Internet,appearance design patent images have some special properties.For example,the picture quality in the appearance design of the patent image is higher,and with less noise.Based on these good properties,a Content Based Design Patent Image Retrieval method with classification technology is proposed in this paper.When the query image is right classified with high probability,similar images are retrieved in this category;otherwise,similar images are retrieved in all the images.The indexing technology is used to quicken the retrieval speed.
Keywords:content based image retrieval (CBIR)  appearance design patent image  classification  indexing
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