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蚁群算法在图像边缘提取中的研究 被引量：2

Research on Ant Colony Algorithm for Image Edge Detection
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摘要 文章对蚁群算法在图像边缘的提取中进行研究,对蚁群算法在图像边缘提取中采用蚂蚁访问不同邻域策略与不同的启发信息公式进行MATLAB仿真,得到最佳的邻域策略与启发信息公式,并利用得到的最佳方式对不同图像进行边缘的提取,达到一定的效果。 The Ant Colony Optimization （ACO） to detect the image edge is researched in this paper. Different neigh- borhood and heuristic matrix to get the image edge are proposed in the algorithm. According to the simulation with MATLAB, how to get the optimal neighborhood and heuristic＇s method in this algorithm is obtained. Detecting different image edge is also received by the optinal method.
作者 徐金龙 陈明举 昊明
机构地区 四川理工学院自动化与电子信息学院
出处 《四川理工学院学报（自然科学版）》 CAS 2010年第2期209-211,215,共4页 Journal of Sichuan University of Science & Engineering(Natural Science Edition)
关键词 邻域策略 启发信息 蚁群算法 图像边缘 neighborhood heuristic information Ant Colony Optimization image edge
分类号 TN911.73 [电子电信—通信与信息系统]
  • 相关文献

参考文献6

  • 1Marco Dorigo,Christian Blum.Ant colony optimization theory:A survey[J].Theoretical Computer Science,205,344,Issues 2-3(17):243-278.
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  • 5于勇,郭雷.噪声图像中提取边缘的蚁群搜索算法[J].电子与信息学报,2008,30(6):1271-1275. 被引量：14
  • 6Lu D S,Chen C C.Edge detection improvement by ant colonyoptimization[J].Pattern Recognition Letters,2008,29:416-425.

二级参考文献14

  • 1苗京,黄红星,程卫生,袁启勋.基于蚁群模糊聚类算法的图像边缘检测[J].武汉大学学报（工学版）,2005,38(5):124-127. 被引量：19
  • 2文山,李葆青.基于小波分层的多方向图像边缘检测[J].自动化学报,2007,33(5):480-487. 被引量：15
  • 3Chickanosky V and Mirchandani G. Wreath products for edge detection. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Seattle, WA, May 12-15, 1998: 2953-2956.
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  • 7Dorigo M, Maniezzo V, and Colorni A. The ant system optimization by a colony of cooperating agents. IEEE Trans on Systems, Man, and Cybernetics-Part B, 1996, 26(1) 29-41.
  • 8Han Yanfang and Shi Pengfei. An improved ant colony algorithm for fuzzy clustering in image segmentation[J]. Neurocomputing, 2007, 70(4-6): 665-671.
  • 9Zhuang X. Edge feature extraction in digital images with the ant colony system. Proceedings of the 2004 IEEE International Conference on System, Man and Cybernetics, MA, USA, 2004, 7: 6354-6359.
  • 10Meshoul S and Batouche M. Ant colony system with extremal dynamics for point matching and pose estimation. Proceedings of the 16th International Conference on Pattern Recognition, Los Alamitos, USA, 2002, 3: 823-826.

共引文献13

同被引文献41

  • 1Cheng Liang, Li Man-chun, Liu Yong-xue, et al. Remote sensing image matching by integrating affine invariant feature extraction and RANSAC[J]. Computers and Electrical Engineering, 2012, 38(4): 1023-1032.
  • 2Inglada J. Automatic recognition of man-made objects in high resolution optical remote sensing images by SVM classification of geometric image features[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 2007, 62(3): 236-248.
  • 3Yue Peng, Di Li-ping, Wei Ya-xing, et al.. Intelligent services for discovery of complex geospatial features from remote sensing imagery[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 2013, 83: 151-164.
  • 4Goel L, Gupta D, and Panchal V K. Hybrid bio-inspired techniques for land cover feature extraction: a remote sensing perspective[J]. Applied Soft Computing, 2012, 12(2): 832-849.
  • 5Ma L, Tian J, and Yu W. Visual saliency detection in image using ant colony optimization and local phase coherence[J]. Electronics Letters, 2010, 46(15): 1066-1068.
  • 6Kovesi P. Image features from phase congruency[J]. Journal of Computer Vision Research, 1999, 1(3): 2-27.
  • 7Dorigo M, Maniezzo V, and Colorni A. Ant system: optimization by a colony of cooperating agents[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1996, B26(1): 29-41.
  • 8Dorigo M and Blum C. Ant colony optimization theory: a survey[J]. Theoretical Computer Science, 2005, 344(2/3): 243-278.
  • 9Zhuang X and Mastorakis N E. Edge detection based on the collective intelligence of artificial swarms[C]. Proceedings of the 4th WSEAS International Conference on Electronic, Signal Processing, and Control, Stevens Point, Wisconsin, USA, 2005: 60-64.
  • 10Baterina A V and Oppus C. Image edge detection using ant colony optimization[J]. WSEAS Transactions on Signal Proce3sing, 2010, 6(2): 58-67.

引证文献2

二级引证文献23

四川理工学院学报（自然科学版）
2010年 第2期

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