A Framework for Image Retrieval with Hybrid Features

摘要：

Image retrieval is an active research area in image processing, pattern recognition, and computer vision. This paper presented a framework in content-based image retrieval (CBIR) by combining the color, texture and shape features. Firstly, transforming color space from RGB model to HSI model, and then extracting color histogram to form color feature vector. Secondly, extracting the texture feature by using gray co-occurrence matrix. Thirdly, applying Zernike moments to extract the shape features. Finally, combining the color, texture and shape features to form the fused feature vectors of entire image. Experiments on commonly used image datasets show that the proposed scheme achieves a very good performance in terms of the precision, recall compared with other methods.

关键词： Image Retrieval Feature Extraction Zernike Moment

作者: Jiayin Kang Wenjuan Zhang

作者单位: School of Electronics Engineering, Huaihai Institute of Technology, Lianyungang 222005 School of Computer Engineering, Huaihai Institute of Technology, Lianyungang 222005

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 1338-1342

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）