期刊论文

中文

计算机科学

1002-137X

2016

43

6

65-67,81

10.11896/j.issn.1002-137X.2016.6.013

中央高校（华中师范大学）基本科研业务专项资金（20205001512） 国家社会科学基金项目（13BTQ050）资助

本校为第一机构

为了更好地检索图像内容信息,提出了基于中心块的多特征自适应权重图像检索算法。改进的算法通过检索图像边界区域的主颜色,提取图像背景噪声,从而降低背景噪声对目标物体的干扰。针对多特征权重值设定的难题,提出运用差分演化算法优化特征权值的方法,解决了固定权值分类精确度低的问题。实验结果表明,所提出的算法可有效减少背景噪声的干扰,并在检索准确率和检索效率上均取得了较好的结果。

An adaptive image retrieval algorithm with multi-feature of center block was proposed to better retrieval the image information. By retrieving the main color of image, the improved method reduces the interference of background noise on the target object. In order to solve the difficult problem of the weight setting, a differential evolution algorithm was presented to optimize the feature weight. Experimental results demonstrate that the proposed algorithm can reduce the interference of background noise in calculating the image dist...