基于Lab空间的图像检索算法  

Image Retrieval Algorithms Based on Lab Space

作　　者：陈丽雪[1] 陈昭炯[1] 

机构地区：[1]福州大学计算机科学与技术学院,福州350002

出　　处：《计算机工程》2008年第13期224-226,共3页Computer Engineering

基　　金：福建省自然科学基金资助项目(A0410013)

摘　　要：探讨Lab颜色空间内基于颜色的图像检索问题。分析已有的基于Lab色度直方图的检索算法的不足,提出改进的基于Lab空间颜色通道的检索算法,该算法分别将a,b颜色通道非均匀量化成22个等级,用其直方图来表征图像的颜色特征,从而保留了两个颜色通道的特性。设计并实现了基于用户感兴趣图像块的相关反馈技术。实验结果表明,改进算法具有良好的检索结果,采用的相关反馈技术提高了检索性能。This paper discusses color-based image retrieval technique in the Lab color space. It analyzes the shortcoming of existing algorithm based on Lab hue histogram, presents an improved retrieval algorithm based on chromaticity coordinate of Lab space. A uniform quantization of chromaticity coordinates（a, b） down to twenty-two bins is performed, their histograms can describle the color context of the image, and preserves the chromaticity coordinates＇ characteristic. This paper implements the relevant feedback technique with piece-of-interest. Experimental results show that the improved method has sound and robust retrieval performance, and the relevant feedback Technique also enhances the retrieval effectiveness.

关 键 词：Lab空间 色度值 颜色通道 感兴趣分块 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]