郑州大学学报（理学版）2017，Vol.49Issue(4)：51-56,6.DOI:10.13705/j.issn.1671-6841.2017192
基于布谷鸟搜索的图像匹配方法研究
The Study on Image Matching Method Based on Cuckoo Search
摘要
Abstract
Aiming to solve the problem that the traditional swarm optimization algorithm has parameters in image matching.A swarm optimization algorithm based on cuckoo search ( CS) for image matching was introduced .Fewer parameters and simpler adjustion were used in CS to image matching .The image matc-hing was firstly transformed to solve a combinatorial optimization problem .Then, by extracting the gradi-ent feature of the image block , the global image matching was realized .Finally , the feasibility and validi-ty of the proposed method were demonstrated by the experiments .关键词
图像匹配/CS算法/HOG/最优解Key words
image matching/CS algorithm/HOG/optimal solution分类
信息技术与安全科学引用本文复制引用
张焕龙,张秀娇,贺振东,张建伟..基于布谷鸟搜索的图像匹配方法研究[J].郑州大学学报（理学版）,2017,49(4):51-56,6.基金项目
国家自然科学基金项目(61503173,61672471,61501407) （61503173,61672471,61501407）
河南省科技攻关项目(172102210062,162102210060) （172102210062,162102210060）
郑州轻工业学院博士基金项目(2016BSJJ002) （2016BSJJ002）
河南省杰出青年基金项目(164100510019). （164100510019）
