Image retrieval using both color and texture
features
佚名
【期刊名称】《中国邮电高校学报（英文版）》 【年(卷),期】2007(014)0z1
【摘要】In order to improve the retrieval performance of images, this paper proposes an efficient approach for extracting and retrieving color images. The block diagram of our proposed approach to content-based image retrieval (CBIR) is given firstly, and then we introduce three image feature extracting arithmetic including color histogram, edge histogram and edge direction histogram, the histogram Euclidean distance, cosine distance and histogram intersection are used to measure the image level similarity. On the basis of using color and texture features separately, a new method for image retrieval using combined features is proposed. With the test for an image database including 766 general-purpose images and comparison and analysis of performance evaluation for features and similarity measures, our proposed retrieval approach demonstrates a promising performance. Experiment shows that combined features are superior to every single one of the three features in retrieval. 【总页数】6页(94-99)
【关键词】CBIR, color histogram, edge histogram, edge direction
histogram, performance evaluation. 【作者】佚名
【作者单位】Computer Science and Engineering Institute, Changchun University of Technology, Changchun 130012, China;Computer Science and Engineering Institute, Changchun University of Technology, Changchun 130012, China;Computer Science and Engineering Institute, Changchun University of Technology, Changchun 130012, China 【正文语种】中文 【中图分类】TP391.41 【文献来源】
https://www.zhangqiaokeyan.com/academic-journal-cn_journal-china-universities-posts-telecommunications_thesis/0201238421413.html 【相关文献】
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Image retrieval using both color and texture features
