基于多Agent进化计算的图像目标识别
|
摘要
对图像的多目标识别问题进行研究,提出一种基于Agent进化计算的目标识别方法。该方法通过Agent和Agent群体的协同进化完成对样本图像集的快速搜索和模板匹配。同时,针对目标遮挡的问题,利用遮挡圆来构造模板,实现对遮挡目标的识别。实验结果表明,提出的方法实现了平移不变、旋转不变、尺度不变、镜像不变的识别,而且能够准确地确定出遮挡区域的位置和遮挡区域的大小,同时也大大减小了模板匹配的计算量。
Image objects recognition is studied.A new object recognition method based on Agent evolutionary computation is proposed.In this method,the processes of searching object on sample image set and template matching are all achieved by cooperation of Agent groups.Moreover,to solve the problem of occluded object recognition,a new method using occluding circle to construct template is proposed too.The experimental results show that the proposed method has the features of translation invariance,rotation invariance,scale invariance and mirror invariance,at the same time,the occluded area can be located.Furthermore,the computation amount of template matching is greatly reduced.
Image objects recognition is studied.A new object recognition method based on Agent evolutionary computation is proposed.In this method,the processes of searching object on sample image set and template matching are all achieved by cooperation of Agent groups.Moreover,to solve the problem of occluded object recognition,a new method using occluding circle to construct template is proposed too.The experimental results show that the proposed method has the features of translation invariance,rotation invariance,scale invariance and mirror invariance,at the same time,the occluded area can be located.Furthermore,the computation amount of template matching is greatly reduced.
引文
[1]田娟,郑郁正.模板匹配技术在图像识别中的应用[J].传感器与微系统,2008,27(1):112-114,117.Tian Juan,ZhengYuzheng.Application of template matching technique in image recognition[J].Transducer and Mic-rosystem Technologies,2008,27(1):112-114,117.
[2]Roy Kaushik,Bhattacharya Prabir.Iris recognition using genetic algorithms and asymmetricalSVMs[J].Machine Graph-ics and Vision,2010,19(1):33-62.
[3]Zhang Changjiang,Lu Juan.Satellite cloud image enhancement by genetic algorithm with fuzzy technique[C]//2009In-ternational Conference on New Trends in Information and Service Science,NISS2009.Beijing,2009:1090-1095.
[4]姜楠,张春森.遗传算法在图像模板匹配中的应用[J].红外与激光工程,2008,37(4):324-327.Jiang Nan,Zhang Chunsen.Application of genetic algorithm in image matching[J].Infrared and Laser Engineering,2008,37(4):324-327.
[5]刘其成,郑纬民.多Agent并行遗传算法在地震勘探属性优化中的应用[J].计算机科学,2010,37(4):234-237.Liu Qicheng,Zheng Weimin.Seismic exploration attribute optimization based on multi-agent parallel genetic algorithm[J].Computer Science,2010,37(4):234-237.
[6]梁军,程显毅.基于混合蚁群遗传算法的Agent联盟求解[J].计算机科学,2009,36(4):227-231.Liang Jun,Cheng Xianyi.Solving method of agent coalition problem based on hybrid ant colony and genetic algorithm[J].Computer Science,2009,36(4):227-231.
[7]Ugur A,Korukoglu S,Caliskan A,et al.Genetic algorithm based solution for TSP on a sphere[J].Mathematical andComputational Applications,2009,14(3):219-228.
[8]马永杰,马义德,蒋兆远,等.一种快速遗传算法及其收敛性[J].系统工程与电子技术,2009,31(3):714-718.Ma Yongjie,Ma Yide,Jiang Zhaoyuan,et al.Fast genetic algorithm and its convergence[J].Systems Engineering andElectronics,2009,31(3):714-718.
[9]彭军,刘亚,吴敏,等.基于状态预测的多智能体动态协作算法[J].系统仿真学报,2008,20(20):5511-5515.Peng Jun,Liu Ya,Wu Min,et al.Dynamic cooperation algorithm in multi-agent system based on state prediction[J].Journal of System Simulation,2008,20(20):5511-5515.
[10]张秋花,薛惠锋,吴介军,等.多智能体系统MAS及其应用[J].计算机仿真,2007,24(6):133-137.Zhang Qiuhua,Xue Huifeng,Wu Jiejun,et al.Theory and application of the multi-agent system[J].Computer Simula-tion,2007,24(6):133-137.
[2]Roy Kaushik,Bhattacharya Prabir.Iris recognition using genetic algorithms and asymmetricalSVMs[J].Machine Graph-ics and Vision,2010,19(1):33-62.
[3]Zhang Changjiang,Lu Juan.Satellite cloud image enhancement by genetic algorithm with fuzzy technique[C]//2009In-ternational Conference on New Trends in Information and Service Science,NISS2009.Beijing,2009:1090-1095.
[4]姜楠,张春森.遗传算法在图像模板匹配中的应用[J].红外与激光工程,2008,37(4):324-327.Jiang Nan,Zhang Chunsen.Application of genetic algorithm in image matching[J].Infrared and Laser Engineering,2008,37(4):324-327.
[5]刘其成,郑纬民.多Agent并行遗传算法在地震勘探属性优化中的应用[J].计算机科学,2010,37(4):234-237.Liu Qicheng,Zheng Weimin.Seismic exploration attribute optimization based on multi-agent parallel genetic algorithm[J].Computer Science,2010,37(4):234-237.
[6]梁军,程显毅.基于混合蚁群遗传算法的Agent联盟求解[J].计算机科学,2009,36(4):227-231.Liang Jun,Cheng Xianyi.Solving method of agent coalition problem based on hybrid ant colony and genetic algorithm[J].Computer Science,2009,36(4):227-231.
[7]Ugur A,Korukoglu S,Caliskan A,et al.Genetic algorithm based solution for TSP on a sphere[J].Mathematical andComputational Applications,2009,14(3):219-228.
[8]马永杰,马义德,蒋兆远,等.一种快速遗传算法及其收敛性[J].系统工程与电子技术,2009,31(3):714-718.Ma Yongjie,Ma Yide,Jiang Zhaoyuan,et al.Fast genetic algorithm and its convergence[J].Systems Engineering andElectronics,2009,31(3):714-718.
[9]彭军,刘亚,吴敏,等.基于状态预测的多智能体动态协作算法[J].系统仿真学报,2008,20(20):5511-5515.Peng Jun,Liu Ya,Wu Min,et al.Dynamic cooperation algorithm in multi-agent system based on state prediction[J].Journal of System Simulation,2008,20(20):5511-5515.
[10]张秋花,薛惠锋,吴介军,等.多智能体系统MAS及其应用[J].计算机仿真,2007,24(6):133-137.Zhang Qiuhua,Xue Huifeng,Wu Jiejun,et al.Theory and application of the multi-agent system[J].Computer Simula-tion,2007,24(6):133-137.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心