摘要
为克服基于文字的图像检索技术对大型图像数据库实施困难、描述不完整等弊端,对RGB颜色矩和Munsell颜色矩进行研究,RGB颜色矩只适用于简单图像,Munsell颜色矩无法判断图片具体信息。为此,采用信息融合技术进行检索判断层的融合,选择多颜色空间融合颜色矩,在分析传统融合算法基础上,提出一种改进融合算法NewcombMNZ。实验结果表明,该算法能提高检索精准度和排序值,对噪声具有良好的鲁棒性,且能减少检索性能较差的特征对融合结果的影响,适用于特征数量较少的情况。
In order to overcome the disadvantages of Content Based Image Retrieval（CBIR）, the study on RGB color moments and Munsell color moments shows that RGB color moments is only suitable to the simple pictures, while Munsell color moments cannot characterize the specific information of pictures. Using information fusion technology to retrieve the fusion of judgement level, multiple color space fusion color moment gives a better solution. By contrasting with the traditional fusion algorithm, an improved fusion algorithm named NewcombMNZ is proposed. Experimental results show that the improved algorithm can improve the retrieval accuracy and ranking value, and a good robustness to noise. It reduces the effect of poor features on fusion, and can be used in the case of few features.
出处
《计算机工程》
CAS
CSCD
2014年第6期252-255,共4页
Computer Engineering
基金
国家自然科学基金资助项目(51106116)
教育部留学回国人员科研启动基金资助项目
关键词
图像检索
颜色矩
融合算法
精准度
排序值
image retrieval
color moment
fusion algorithm
accuracy
ranking value
