期刊文献+

一种鲁棒的图像局部仿射不变特征提取方法 被引量:1

A Robust Affine Invariant Local Image Features Extraction Method
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摘要 提出一种鲁棒的图像局部仿射不变特征提取方法.该方法首先对图像进行M进制小波变换,根据M进制小波变换系数的能量性质来检测图像特征点.然后以检测到的稳定特征点为中心,根据特征点周围的局部图像信息,以矩的形式构造仿射不变特征描述子.实验结果证明该方法对图像的旋转变化、尺度变化、视点变化、平移等所有仿射变换均具有较好的不变性. A robust affine invariant local image features extraction method is proposed. Firstly, the image is transformed with M band wavelet. The feature points of the image are detected according to the energy of the M band wavelet transform coefficients. Then, every detected feature point is set to be a center. According to the local image information around the center, affine invariant feature is eonstructed with a moment structure. The experiments prove the invariant efficiency of the proposed method in image rotation, shift, scaling and viewpoint change etc.
出处 《模式识别与人工智能》 EI CSCD 北大核心 2013年第3期276-281,共6页 Pattern Recognition and Artificial Intelligence
基金 国家自然科学基金项目(No.61175006,61175015) 湖南省研究生科研创新项目(No.CX2010B024) 国防科学技术大学优秀博士生创新项目(No.B100504)资助
关键词 仿射不变 图像特征 小波 Affine Invariant, Image Feature, Wavelet
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参考文献14

  • 1张洁玉,陈强,白小晶,孙权森,夏德深.基于广义典型相关分析的仿射不变特征提取方法[J].电子与信息学报,2009,31(10):2465-2469. 被引量:7
  • 2Lowe D G. Distinctive Image Features from Scale-Invariant Keypoints.International Journal of Computer Vision, 2004, 60(2): 91-110.
  • 3Lindeberg T. Feature Detection with Automatic Scale Selection.International Journal of Computer Vision, 1998,30(2): 79-116.
  • 4霍春雷,周志鑫,刘青山,卢汉清.基于SIFT特征和广义紧互对原型对距离的遥感图像配准方法[J].遥感技术与应用,2007,22(4):524-530. 被引量:15
  • 5Morel J M, Yu Guoshen. ASIFT: A New Framework for Fully AffineInvariant Image Comparison. SIAM Journal on Imaging Sciences,2009 , 2(2): 438-469.
  • 6Brese C L, Zou J J, Uy B. An Improved ASIFT Algorithm for Matc-hing Repeated Patterns // Proc of the 17th IEEE International Con-ference on Image Processing. Hong Kong, China, 2010 : 2949 -2954.
  • 7Baussard A, Nieolier E, Truchetet F. Rational MultiresolutionAnalysis and Fast Wavelet Transform: Application to WaveletShrinkage Denoising. Signal Processing, 2004, 84(10): 1735 -1747.
  • 8Sanker B, Cagatay G, Kahya Y. Multiresolution Biological TransientExtraction Applied to Respiratory Crackles. Computers in Biologyand Medicine, 1996, 26( 1): 25-39.
  • 9Toews M,Wells III W, Collins D L, et al. Feature-Based Mor-phometry :Discovering Group-Related Anatomical Patterns. NeuroImage, 2010,49(3): 2318-2327.
  • 10Suk T, Flusser J. Graph Method for Generating Affine MomentInvariants // Proc of the 17th International Conference on PatternRecognition, Cambridge, UK, 2004 , 2: 192-195.

二级参考文献37

  • 1雷琳,蔡红苹,唐涛,粟毅.基于MSA特征的遥感图像多目标关联算法[J].遥感学报,2008,12(4):586-592. 被引量:7
  • 2孙权森,曾生根,王平安,夏德深.典型相关分析的理论及其在特征融合中的应用[J].计算机学报,2005,28(9):1524-1533. 被引量:89
  • 3夏永泉,刘正东,杨静宇.不变矩方法在区域匹配中的应用[J].计算机辅助设计与图形学学报,2005,17(10):2152-2156. 被引量:21
  • 4徐学强,汪渤,于家城,王闻博.一种新型不变矩在图像识别中的应用[J].光学技术,2007,33(4):580-583. 被引量:11
  • 5MingKuei H. Visual pattern recognition by moment invariants [J]. IEEE Transactions on Information Theory, 1962, 8(2): 179-187.
  • 6Zahn C T and Roskies R Z. Fourier descriptors for plane closed curves [J]. IRE Transactions on Computer, 1972, 21(3)269-281.
  • 7Teague M. Image analysis via the general theory of moments [J]. Journal of the Optical Society of America, 1980, 70(8): 920-930.
  • 8Resnick J. The radon transforms and some of its applications [J]. IEEE Transactions on Acoustics, Speech and Signal Processing, 1985, 33(1): 338-339.
  • 9Xiong H, Zhang T, and Moon Y S. A translation- and scale- invariant adaptive wavelet transform [J]. IEEE Transactions on Image Processing, 2000, 9(12): 2100-2108.
  • 10Rahtu E, Salo M, and Heikkila J. Affine invariant pattern recognition using multiscale autoconvolution[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(6): 908-918.

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