基于人工鱼群算法的彩色图像检索方法  

Color image retrieval method based on artificial fish algorithm

作　　者：薛亚娣[1] 阮文惠[1] 

机构地区：[1]兰州文理学院数字媒体学院,甘肃兰州730000

出　　处：《西安工程大学学报》2016年第5期651-656,共6页Journal of Xi’an Polytechnic University

摘　　要：针对传统的彩色图像检索方法计算过程复杂,相似图像匹配度低,检索过程无法实现最优组合的问题,提出一种基于人工鱼群算法的彩色图像检索方法.通过介绍人工鱼群算法,完成彩色图像的颜色特征提取,进行彩色图像鱼群算法的相似度匹配,实现人工鱼群算法图像检索,完成人工鱼群算法检索图像权重的优化.仿真实验表明,提出的人工鱼群算法具备有效性,在实际环境中有检索优势.The traditional color image retrieval method has complex calculation process,low similar image matching degree,and it unable to achieve the optimal combination in retrieval process.A color image retrieval method based on artificial fish swarm algorithm is thus proposed.By introducing the algorithm,the color feature extraction of color image is completed,similarity matching of fish algorithm conducted,the image retrieval realized,and retrieved image weight optimization complished.The simulation results show that the proposed artificial fish swarm algorithm is effective,and it has a certain advantage in the actual environment.

关 键 词：人工鱼群 彩色图像 检索方法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]