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

机译:使用傅里叶描述符和小波描述符对二维形状检索的比较

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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.
机译:对于诸如数字图像库和在线图像检索之类的多媒体应用,选择合适的图像检索工具是主要问题。形状通常被认为是最重要的图像特征。傅立叶描述符(FDs)被广泛用于形状识别和检索。然而,作为全局描述符,它们常常被指责为无法描述局部形状特征[1,2]。为了克服这个缺点,提出了小波描述符(WDs)。不幸的是,诸如多分辨率方案和局部形状特征之类的额外信息导致形状匹配算法更加复杂。有效或有效地使用WD需要更多的精力。执行实验以评估这两个描述符的检索性能。根据实验结果和文献综述给出了一些结论和建议。

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