Design Image Retrieval Based on Nonsubsampled Contourlet Transform and Neural Networks

摘要：

In this paper, an image retrieval method based on nonsubsampled contourlet transform (NSCT) is proposed. Firstly, the image is decomposed into different scales and different directions subbands by the NSCT. Then, texture features and shape features of subbands are extracted. Finally, BP neural network is used to retrieve images through using extracted features. The experimental results over car accessory images demonstrate the effectiveness of the proposed method.

作者: Yi Li Guanzhong Liu

作者单位: Business School Central South University Changsha, China

会议类型: 国际会议

会议名称: International Conference on Management and Service Science(2011年第五届管理与服务科学国际会议 MASS 2011)

会议地点: 武汉

会议语种:英文

页码: 1-4

在线出版日期: 2011-08-12（万方平台首次上网日期，不代表论文的发表时间）