A Comparative Study of Moment-Based Shape Descriptors for Product Image Retrieval

摘要：

This paper presents a comparative study of Zernike moments (ZMs), Jacobi-Fourier moments (JFMs) and Radial-Harmonic-Fourier moments (RHFMs) for product image retrieval. Experiments are carried out on the PI 100 dataset and the retrieval performances of the shape descriptors are evaluated and quantified by the Average Normalized Modified Retrieval Rank (ANMRR). The experimental results show that JFMs and RHFMs present similar better retrieval performance than ZMs in both terms of shape representation quality and the amount of required moments.

关键词： image retrieval shape descriptor Zernike moments (ZMs) Jacobi-Fourier moments (JFMs) Radial- Harmonic-Fourier moments (RHFMs)

作者: Wang Kejia Zhang Honggang Chai Lunshao Haiying Ping Ziliang

作者单位: School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China School of Information and Communication Engineering,Beijing University of Posts and Telecommunicatio Physics and Electronic Information College, Inner Mongolia Normal University, Huhhot, China

会议类型: 国际会议

会议名称: 2011 International Conference on Image Analysis and Signal Processing(2011第三届图像分析与信号处理国际会议 IASP 2011)

会议地点: 武汉

会议语种:英文

页码: 355-359

在线出版日期: 2011-10-21（万方平台首次上网日期，不代表论文的发表时间）