Computer Science ›› 2016, Vol. 43 ›› Issue (7): 310-313.doi: 10.11896/j.issn.1002-137X.2016.07.057

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Double Search Colony Algorithm for Color Remote Sensing Image Edge Detection Based on Quaternion Representation

PU Guo-lin and QIU Yu-hui   

  • Online:2018-12-01 Published:2018-12-01

Abstract: With the advent of big data of remote sensing image,common color remote sensing image edge detection has a greater amount of computation,lower speed,worse effect and more obvious shortcomings.We used a quaternion vector to represent a color pixel,improved artificial bee colony algorithm for single search equation,expanded employed bee search area,and added Levy flight factor in the equation of onlookers,proposed an artificial bee colony algorithm based on dual-search equation.Experimental results show that improved double search artificial bee colony algorithm for remote sensing image edge detection not only significantly reduce the amount of computation of edge detection,but also reduce the noises in the color remote sensing image.The proposed algorithm can be effectively applied to obtain the re-cognition target from remote sensing image.

Key words: Colony algorithm,Color remote sensing image,Double search equation,Eedge detection,Quaternion

[1] Durieux L,Lagabrielle E,Nelson A.A method for monitoring building construction in urban sprawl areas using object-based analysis of Spot 5 images and existing GIS data[J].ISPRS Journal of Photogrammetry and Remote Sensing,2008,63(4):399-408
[2] Blaschke T.Object based image analysis for remote sensing[J].Isprs Journal of Photogrammetry and Remote Sensing,2010,65(1):2-16
[3] Hamilton W R.Elements of quaternions[J].Science,1901,2(2):206
[4] Cai C,Viiran S K.A Normalized color Difierence edge Detector Based on Quaternion Representation[C]∥Proceedings of IEEE International Conference on Image Processing.2000:816-819
[5] Pan Feng,Lin Xiao.Fast mode decision for intra prediction:JVI-G013[S].2003
[6] Lang Fang-nian,Zhou Ji-liu,Yan Bin,et al.Quaternion and Color Image Edge Detection[J].Computer Science,2007,4(11):212-216(in Chinese) 郎方年,周激流,闫斌,等.四元数与彩色图像边缘检测[J].计算机科学,2007,4(11):212-216
[7] Karaboga D.An idea based on honey bee swarm fornumerica lop-timization:TR06[R].Erciyes Universtiy,2005
[8] Manoj V J,Elias E.Artificial bee colony algorithm for the design of multiplier-less nonuniform filter bank transmultiplexer[J].Information Sciences,2012,192(6):193-203
[9] Long J C,Szeto W Y,Huang H J.A bi-objective turning restriction design problem in urban road networks[J].European Journal of Operational Research,2014,237(2):426-439
[10] Yang Pei-wen.Quaternions analysis and partial differentialequations[M].Beijing:Science Press,2009(in Chinese) 杨丕文.四元数分析与偏微分方程[M].北京:科学出版社,2009
[11] Lei Yin-jie,Yu Yan-mei,Zhou Ji-liu,et al.Quaternion Singular Value Decomposition Approach to Color Image De-noising[J].Journal of Sichuan University (Natural Science Edition),2007,4(6):1268-1274(in Chinese) 雷印杰,余艳梅,周激流,等.四元数奇异值分解与彩色图像去噪[J].四川大学学报(自然科学版),2007,4(6):1268-1274
[12] Li Yun-han,Zhu Shan-an,Zhu lei.Face Recognition AlgorithmBased on the Quaternion Principal Component Analysis[J].Journal of Signal Processing,2007,3(2):214-216(in Chinese) 黎云汉,朱善安,祝磊.基于四元数主成分分析的人脸识别算法[J].信号处理,2007,3(2):214-216
[13] Jin Hai-liang,Li De-hua.Color image filtering and color image processing method based on quaternion[D].Hubei:Huazhong University of Science and Technology,2008(in Chinese) 金海良,李德华.彩色图像滤波与基于四元数的彩色图像处理方法[D].湖北:华中科技大学,2008
[14] Gao W F,Liu S Y.A modified artificial bee colony algorithm[J].Comput Oper Res,2012,39(3):687-697
[15] Gao W F,Liu S Y,Huang L L.A novel artificial bee colony algorithm based on modified search equation and orthogonal lear-ning[J].IEEE Transactions on Systems,Man,and Cybernetics,2013,43(3):1011-1024
[16] Zhu G P,Kwong S.Gbest-guided artificial bee colony algorithm for numerical function optimization[J].Appl Math Computat,2010,217(7):3166-3173
[17] Lin Hui,Shu Ning,Zhao Chang-sheng.A new edge evaluation method based on connected components[J].Remote Sensing for Land &Resources,2003(3):37-40(in Chinese) 林卉,舒宁,赵长胜.一种新的基于连通成分的边缘评价方法[J].国土资源遥感,2003(3):37-40

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