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贝塞尔-傅里叶矩在图像检索中的应用研究 被引量：2

Research on Application of Bessel-Fourier Moment in Image Retrieval
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摘要 为验证贝塞尔-傅里叶矩在图像检索中的检索性能及图像识别能力,在ICU和ALOI图像库中,提取贝塞尔-傅里叶矩特征,进行检索和分类实验。实验结果表明:贝塞尔-傅里叶矩对纹理图像不仅具有较高的检索率,而且RPP曲线能够达到理想状态;对彩色图像形状检索具有较高的查准率和查全率,对图像存在的光照变化和几何变化尺度旋转具有较强的鲁棒性。相同阶数的贝塞尔-傅里叶矩特征,在KNN分类实验中可以获得更高的分类准确率。 In order to test the retrieval performance of the Bessel-Fourier Moment（BFM）,the feature descriptor extracted with the proposed algorithm is used for image retrieval and classification in different databases： ICU and ILL databases.Experimental results show that the higher retrieval precision rate can be achieved,and the curve of RPP amounts to an ideal state for invariant texture retrieval.The performance of BFM is better for shape recognition,and has strong robustness to varying illumination and rotational invariance in color images retrieval.The BFM achieves higher correct classification rate than conventional descriptors with the same order.
作者 马自萍 康宝生
机构地区 西北大学信息科学与技术学院 北方民族大学信息与计算科学学院
出处 《计算机工程》 CAS CSCD 北大核心 2011年第17期194-196,共3页 Computer Engineering
基金 宁夏高等学校科学研究基金资助项目(2008jy008) 北方民族大学科学研究基金资助项目(2009Y033)
关键词 贝塞尔-傅里叶矩 图像检索 图像分类 旋转不变性 图像重建 Bessel-Fourier Moment（BFM） image retrieval image classification rotation invariance image reconstruction
分类号 TP3 [自动化与计算机技术—计算机科学与技术]
  • 相关文献

参考文献12

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二级参考文献8

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共引文献6

同被引文献15

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  • 3ZHAO G, PIETIKAINEN M. Dynamic texture recognition using local binary pattern with an application to facial expressions[ J ]. IEEE Transac- tions on Pattern Analysis & Machine Intelligence, 2007, 29(6) :915 -928.
  • 4GUO Z H, ZHANG L, ZHANG D. A completed modeling of local binary pattern operator for texture classification [J].IEEE Transactions on Im- age Processing, 2010,19(6) :1657 - 1663.
  • 5KANG J, COHEN I, MEDIONI G. Object reacquisition using geometric invariant appearance model[ C ]. International Conference on Pattern Rec- ognition, Washington, DC : IEEE Computer Society, 2004:759 - 762.
  • 6ASSHETON P, HUNTER A. A shape-based voting algorithm for pedestrian detection and tracking[ J ]. Pattern Recognition, 2011, 44:1106 - 1120.
  • 7LIU Z, LAGANIIRE R. Phase congruence measurement for image similarity assessmen [ J]. Pattern Recognition Letters, 2007, 28 (1) :166 - 172.
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  • 9XIAO B, MA J F, WANG X. Image analysis by Bessel-Fourier moments[ J]. Pattern Recognize, 2010,43 (8) :2620 - 2629.
  • 10VEENMAN C J, REINDERS M J T, BACKER E. Motion tracking as a constrained optimization problem[ J]. Pattern Recognition, 2003, 36 (9) :2049 - 2067.

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计算机工程
2011年 第17期

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