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基于颜色空间和纹理特征的图像检索

Image Retrieval Based on Color, Space and Texture Features

中文摘要英文摘要

针对目前的基于特征的图像检索中没有有效地结合图像中对象空间信息的问题,提出了一种新的融合了颜色、空间和纹理特征的图像特征提取及匹配方法。为了减少时间和空间复杂度,首先通过基于普通颜色直方图的检索得到初始图像集合,然后根据提出的结合空间、纹理特征加权度量对初始图像集合再进行检索,从而得到最后更符合要求的相似图像。

It aims at the shortcoming of the current CBIR systems – they didn’t take into account the spatial information of images in retrieval and proposes a novel method which includes multiple features – color, spatial and texture to index and retrieval images. To reduce the complexity of time and space, this paper gives the method of twice retrieval, that’s to retrieval the most color similar images from the image databases, then extract the spatial and texture features of these images, match them with the sample image by distance measure functions. In this way, the cost of time and space can be reduced sharply.

姚华静

电子技术应用

图像检索 图像相似性 颜色 空间 纹理

Image Retrieval similar images color spatial texture.

姚华静 .基于颜色空间和纹理特征的图像检索[EB/OL].(2007-02-27)[2025-08-22].http://www.paper.edu.cn/releasepaper/content/200702-230.点此复制

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