分形维数和语言描述符在CBIR中的应用方法

An-Zen Shih
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引用次数: 5

摘要

本文描述了一种基于语言表达和分形维数的数据库图像检索系统。我们的实验使用的是Brodaz纹理图像。此外,使用Taruma特征提取数据库中的图像,并使用几种语言表达式对图像进行分类。这些语言表达式在分形维数的帮助下更有效地搜索图像。通过目测,我们对实验结果感到满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The approach of using fractal dimension and linguistic descriptors in CBIR
In this paper we describe a system which uses linguistic expression and fractal dimensions to retrieve images in database. Brodaz texture images are used for our experiment. In addition, Taruma features are used to extract images of the database and several linguistic expressions are used for classified the images. These linguistic expressions, with the help of fractal dimension are more efficient in searching images. By visual inspection, we are satisfied with our experiment results.
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