A Comparison of 2-D Shape Retrieval Using Fourier Descriptors and Wavelet Descriptors  

作　　者：LIQin JonathanEdwards 

机构地区：[1]HenanProvincialKeyLaboratoryonInformationNetwork,ZhengzhouUniverisity,Zhengzhou450052,China [2]SchoolofInformatics,UniversityofNorthumbriaEllisonPlace,NE18STNewcastle-upon-Tyne,UK

出　　处：《Chinese Journal of Electronics》2005年第3期554-558,共5页电子学报（英文版）

摘　　要：Choosing an appropriate image retrieval tool is the primary problem for a multimedia application such as digital image library and online image retrieval. Shape is often regarded as the most important image feature. Fourier descriptors (FDs) are widely used in shape recognition and retrieval. However, as global descriptors, they are often blamed for not being able to describe local shape features[1,2]. Wavelet descriptors (WDs) are proposed to overcome this drawback. Unfortunately, the extra information such as the multi-resolution scheme and local shape features cause much more complicate shape matching algorithms. The efficient or effective use of WD srequires more effort. Experiments are executed to evaluate the retrieval performance of this two descriptors. Some conclusions and suggestions are given according to the experimental results and the literature reviewed.

关 键 词：图像处理 多媒体应用软件 图像特征 傅立叶描述符 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]