模糊颜色和纹理直方图——用于精确图像检索的低水平特征

S. Chatzichristofis, Y. Boutalis
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引用次数: 324

摘要

本文研究了一种新的将颜色和纹理信息结合在一个直方图中的低级特征的提取。这个特征被命名为FCTH——模糊颜色和纹理直方图——是3个模糊系统组合的结果。FCTH的大小限制为每张图像72字节,因此这个描述符适合在大型图像数据库中使用。所提出的特征适用于即使在变形、噪声和平滑等失真情况下也能准确检索图像。它在从专有图像数据库中选择的大量图像或从流行的搜索引擎中随机检索的图像上进行测试。为了评估所提出的特征的性能,使用了平均归一化修正检索秩。在图像检索系统中实现所提出的功能的在线演示可以在:http://orpheus.ee.duth.gr/image_retrieval上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FCTH: Fuzzy Color and Texture Histogram - A Low Level Feature for Accurate Image Retrieval
This paper deals with the extraction of a new low level feature that combines, in one histogram, color and texture information. This feature is named FCTH - Fuzzy Color and Texture Histogram - and results from the combination of 3 fuzzy systems. FCTH size is limited to 72 bytes per image, rendering this descriptor suitable for use in large image databases. The proposed feature is appropriate for accurately retrieving images even in distortion cases such as deformations, noise and smoothing. It is tested on a large number of images selected from proprietary image databases or randomly retrieved from popular search engines. To evaluate the performance of the proposed feature, the averaged normalized modified retrieval rank was used. An online demo that implements the proposed feature in an image retrieval system is available at: http://orpheus.ee.duth.gr/image_retrieval.
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