摘要
使用颜色直方图进行图像检索是图像检索的常用方法,但是传统颜色直方图检索容易丢失空间信息,从而影响图像检索的查全率和查准率.针对这一问题,提出一种改进算法,该算法首先进行图像分块,然后通过对各分块颜色直方图加权的方法进行检索.实验证明,该算法可以提高图像检索结果的查全率和查准率.
The use of color histogram is a common method for image retrieval,since conventional color histogram retrieval method is prone to lose the spatial information of colors, thus affecting both the recall and the precision. A new image retrieval algorithm is proposed in this paper. According to the method,an image is cut into sub- blacks first;then the retrieval is performed by the weighted method of sub-block's color histogram. Experimental results show that both the recall and the precision are improved effectively.
出处
《吉首大学学报(自然科学版)》
CAS
2009年第5期45-48,共4页
Journal of Jishou University(Natural Sciences Edition)
基金
湖北省教育厅科学研究项目(Q20081409
Q20081402
D20081405)
湖北省自然科学基金资助项目(2008CDZ003
2008CDB342)
关键词
图像检索
分块颜色直方图
权值
image retrieval
blocked color histogram
weights