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Texture Feature Matching Methods for Content based Image Retrieval

机译:基于内容的图像检索纹理特征匹配方法

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摘要

Texture features are widely used for matching in content based image retrieval. Since mid nineteen nineties we find a lot of R & D activities in this area. In this paper an attempt has been made to review these works. Seventy one papers were reviewed and these were classified into spatial domain, wavelet based and miscellaneous methods. These methods were further sub-classified on the basis of mathematical techniques used or the algorithm applied. A very brief description of these methods is given. Finally the paper discusses about the need for comparison of the methods and on the future directions in this area.
机译:纹理特征被广泛用于基于内容的图像检索中的匹配。从19世纪90年代中期开始,我们在这一领域发现了很多研发活动。本文试图对这些作品进行回顾。审查了71篇论文,将其分为空间域方法,基于小波的方法和其他方法。这些方法根据所使用的数学技术或所应用的算法进一步细分。给出了这些方法的非常简短的描述。最后,本文讨论了比较这些方法的必要性以及该领域的未来方向。

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