留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于规范割的空间金字塔图像分类算法

丁锴 陈伟海 吴星明 刘中

丁锴, 陈伟海, 吴星明, 等 . 基于规范割的空间金字塔图像分类算法[J]. 北京航空航天大学学报, 2013, 39(10): 1342-1347.
引用本文: 丁锴, 陈伟海, 吴星明, 等 . 基于规范割的空间金字塔图像分类算法[J]. 北京航空航天大学学报, 2013, 39(10): 1342-1347.
Ding Kai, Chen Weihai, Wu Xingming, et al. SPM based on normalized cut for image classification[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(10): 1342-1347. (in Chinese)
Citation: Ding Kai, Chen Weihai, Wu Xingming, et al. SPM based on normalized cut for image classification[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(10): 1342-1347. (in Chinese)

基于规范割的空间金字塔图像分类算法

基金项目: 国家自然科学基金资助项目(61075075,61175108); 北京市科学技术委员会资助项目(D121104002812001)
详细信息
    作者简介:

    丁锴(1983-),男,河南濮阳人,博士生,838383_dingkai@163.com.

  • 中图分类号: TP391

SPM based on normalized cut for image classification

  • 摘要: 对大型图像数据库进行图像分类是很困难的,空间金字塔算法针对这种问题提出,并能得到很好的分类精度,但有几点不足.针对这些不足,提出基于规范割的空间金字塔算法:使用规范割算法对特征词进行更准确的聚类;对每类训练图像计算子特征库,利用二次聚类生成总特征库,在特征字典中保留更多的稀疏类型图像特征词;用高斯模型量化未知特征生成特征直方图,并对直方图进行尺度重整,提高类间距.实验证明提出算法比原方法分类精度最多能提高4.6%.

     

  • [1] Lowe D.Object recognition from local scale-invariant features[C]//Proceedings of International Conference on Computer Vision.Kerkyra:IEEE Computer Society Press,1999:1150-1157 [2] Li Feifei,Perona P.A Bayesian hierarchical model for learning natural scene categories[C]//Proceedings IEEE Computer Vision and Pattern Recognition.San Diego:IEEE Computer Society Press,2005:524-531 [3] Grauman K,Darrell T.Efficient image matching with distributions of local invariant features[C]//Proceedings IEEE Computer Vision and Pattern Recognition.San Diego:IEEE Computer Society Press,2005:627-634 [4] Zhang Hao,Berg A,Maire M,et al.SVM-KNN:discriminative nearest neighbor classification for visual category recognition[C]//Proceedings IEEE Computer Vision and Pattern Recognition.New York:IEEE Computer Society Press,2006:2126-2136 [5] Lazebnik S,Schmid C,Ponce J.Beyond bags of features:spatial pyramid matching for recognizing natural scene categories[C]//Proceedings IEEE Computer Vision and Pattern Recognition.New York:IEEE Computer Society Press,2006:2169-2178 [6] Bosch A,Zisserman A.Representing shape with a spatial pyramid kernel[C]// International Conference on Image and Video Retrieval.Amesterdan:Association for Computing Machinery,2007:401-408 [7] 张琳波,王春恒,肖柏华,等.基于Bag-of-phrases的图像表示方法[J].自动化学报,2012,38(1):46-54 Zhang Linbo,Wang Chunheng,Xiao Baihua,et al.Image representation using bag-of-phrases[J].Acta Automatica Sinica,2012,38(1):46-54 (in Chinese) [8] 赵春晖,王莹,Kaneko Masahide.一种基于词袋模型的图像优化分类方法[J].电子与信息学报,2012,34(9):2064-2070 Zhao Chunhui,Wang Ying,Kaneko Masahide.An optimized method for image classification based on bag of words model[J].Journal of Electronics & Information Technology,2012,34(9):2064-2070 (in Chinese) [9] 袁莹,邵健,吴飞,等.结合组稀疏效应和多核学习的图像标注[J].软件学报,2012,23(9):2500-2509 Yuan Ying,Shao Jian,Wu Fei,et al.Image annotation by the multiple kernel learning with group sparsity effect[J].Journal of Software,2012,23(9):2500-2509(in Chinese) [10] 刘宝弟,王宇雄,章毓晋.图像分类中多流形上的词典学习[J].清华大学学报:自然科学版,2012,52(4):575-580 Liu Baodi,Wang Yuxiong,Zhang Yujin.Dictionary learning on multiple manifolds for image classification[J].Journal of Tsinghua University:Science and Technology,2012,52(4):575-580(in Chinese) [11] Shi Jianbo,Malik J.Normalized cuts and image segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(8):888-905 [12] Ng A,Jordan M,Weiss Y.On spectral clustering:analysis and an algorithm[C]//Advances in Neural Information Processing Systems.Vancouver:MIT Press,2002:849-856 [13] Comaniciu D.An algorithm for data-driven bandwidth selection[J].IEEE Trans Pattern Analysis Machine Intelligent,2003,25(2):281-288 [14] Sarle W.Neural network FAQ[EB/OL].1997 .ftp://ftp.sas.com /pub /neural/FAQ.html [15] Hsu Chihwei,Chang Chihchung,Lin Chihjen.A practical guide to support vector classification [EB/OL].2002 .http://www.cmlab.csie.ntu.edu.tw/~cyy/learning/tutorials/libsvm.pdf [16] Wang Jinjun,Yang Jianchao,Yu Kai,et al.Learning locality constrained linear coding for image classification[C]//Proc IEEE Computer Vision and Pattern Recognition.San Francisco:IEEE Computer Society Press,2010:3360-3367 [17] Yang Jingjing,Li Yuanning,Tian Yonghong,et al.Group sensitive multiple kernel learning for object categorization[C]//Proceedings of International Conference on Computer Vision.Kyoto:IEEE Computer Society Press,2009:436-443
  • 加载中
计量
  • 文章访问数:  1764
  • HTML全文浏览量:  202
  • PDF下载量:  967
  • 被引次数: 0
出版历程
  • 收稿日期:  2012-11-29
  • 网络出版日期:  2013-10-30

目录

    /

    返回文章
    返回
    常见问答