计算机技术与发展Issue(2)：29-33,38,6.DOI:10.3969/j.issn.1673-629X.2014.02.007
一种自适应特征分块加权的图像检索方法
A Block-based Methods for Image Retrieval Using Adaptive Feature Weight
摘要
Abstract
An image retrieval method based on adaptive feature weight is proposed in this paper. First of all,extract the image color histo-gram and gradient histogram,according to the characteristics of the image,segmentation is conducted in a different way. Then the image segmented is divided into small pieces of 4í4,according to the distribution of its color and texture,calculate every small piece of the weighted value. Finally,one-dimensional weighted color histogram vector as feature,carry on similarity matching,the image with smaller Euclidean distance as the results. Experiments show that comprehensive utilization of color and edge features is better than with one fea-ture for image retrieval,the retrieval accuracy after the adaptive feature weighting is higher,especially for those image with distinct target and background,this method is effective.关键词
图像检索/颜色直方图/梯度直方图/图像分割/自适应加权Key words
image retrieval/color histogram/gradient histogram/image segmentation/adaptive weight分类
信息技术与安全科学引用本文复制引用
冯思为,陈蕾,王加俊..一种自适应特征分块加权的图像检索方法[J].计算机技术与发展,2014,(2):29-33,38,6.基金项目
国家自然科学基金面上项目(60871086) （60871086）
