基于颜色的图像检索系统实现 摘要:近年来,随着互联网高速发展,网上的多媒体信息急剧增加,这些多媒体信息大都以图像为主。如何有效地组织、管理和检索大规模的图像数据已成为迫切需要解决的问题。于是基于内容的图像检索(CBIR)作为一个崭新的研究领域呈现在人们面前。 本论文中首先采用符合人类视觉特征的HSV颜色空间来表示颜色特征,然后利用人对颜色的感知特性来对颜色分量进行非等间隔量化并形成了颜色特征矢量,最后用欧氏距离法、加权距离法和直方图相交法结合分块全局直方图进行图像的相似性的计算。本文基于上述方法建立了一个图像检索的原型系统,并应用图像检索系统中常用到的性能参数对算法的运行及其结果进行了评估,最后取得了令人满意的效果。 关键词:基于内容的图像检索;颜色特征;颜色直方图;相似度 中图分类号:TP331 Realization of Color-based Image Retrieval System Abstract: In recent years, with the rapid development of the , online multimedia information has increased dramatically and this information is mostly images. Effective recognizing, management and searching all these images has been an emergent problem. So content-based image retrieval, as a new field of study emerged. To show color characteristic of image,we use the method of the HSV color space,which is suitable to the visual characteristic of advance of human’s feeling to color ,it quantifies color sector with unequal interval,and get characteristic ,it mathches the similarity of image with the algorithm of the histogram intersection and the Prtition-overall image retrieval system based on these approaches is results of experiments show that the image retrieval algorithim based on Partition-overall histogram proposed in this paper is efficient and effective. Keywords: CBIR; color features; color histogram; similarity Classification: TP331 目次 摘要 I 目次 III 1. 绪论 1 1 1 1 图像检索技术的分类及应用 2 3 3 3 4 2. 基于内容的图像检索技术 5 基于内容的图像检索技术的系统结构 5 6 特征抽取技术 8 8 8 9 10 11 3. 基于颜色的图像检索系统实现 13 13 13 17 颜色直方图及颜色特征提取 21 21 24 颜色直方图距离的度量方法 24 24 26 4. 基于颜色的图像检索系统程序设计及结果分析 28 28 29