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Contour Curve Descriptor Based on Affine Invariance |
ZHANG Gui-Mei, XIONG Yi-Wen, MA Ke |
Key Laboratory of Nondestructive Testing of Ministry of Education,Nanchang Hangkong University, Nanchang 330063 |
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Abstract The traditional feature points only reflect some information of the contour curve. To describe the curve more accurately, a kind of feature points, nameed chord height point, is defined and extracted. Based on the feature points, a local curve descriptor is constructed to match the contour curves. Chord height point is sampled from each sub-curve and it can be employed to describe the curve more precisely than the common feature points such as corners, points of tangency and inflection points. It can solve the problem that the curve can not be described precisely, because the smooth curve has fewer feature points. The defined chord height points and the constructed recognition vector are local descriptors with invariance under affine transformation, so the matching method is robust under occlusion and affine transformation. The theory analysis and experimental results show that the proposed algorithm is effective.
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Received: 19 July 2011
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[1] Ekombo P L E,Ennahnahi N,Oumsis M,et al.Application of Affine Invariant Fourier Descriptor to Shape-Based Image Retrieval.International Journal of Computer Science and Network Security,2009,9(7) : 240-247 [2] Mei Y,Androutsos D.Robust Affine Invariant Shape Image Retrieval Using the ICA Zernike Moment Shape Descriptor // Proc of the 16th IEEE International Conference on Image Processing.Cairo,Egypt,2009: 1065-1068 [3] Chen Zen,Sun Shukuo.A Zernike Moment Phase-Based Descriptor for Local Image Representation and Matching.IEEE Trans on Image Processing,2010,19(1): 205-219 [4] Sapiro G,Tannenbaum A.Affine Invariant Scale Space.International Journal of Computer Vision,1993,11(1): 25-44 [5] Mokhtarian F,Mackworth A K.Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes.IEEE Trans on Pattern Analysis and Machine Intelligence,1986,8(1): 34-43 [6] Cui M,Femiani J,Hu J,et al.Curve Matching for Open 2D Curves.Pattern Recognition Letters,2009,30(1): 1-10 [7] Lim K B,Du T H,Wang Q.Partially Occluded Object Recognition.International Journal of Computer Applications in Technology,2011,40(1/2): 122-131 [8] Ansari N,Delp E J.Partial Shape Recognition: A Landmark Based Approach.IEEE Trans on Pattern Analysis and Machine Intelligence,1990,12(5): 470-489 [9] Wang Wencheng.The Contour Curve Matching Based on Hausdorff Distance.Master Dissertation.Xi’an,China: Xi’an University of Technology,2007 (in Chinese) (王文成.基于Hausdorff距离的轮廓线匹配.硕士学位论文.西安:西安理工大学,2007) [10] Orrite C,Hemo J E.Shape Matching of Partially Occluded Curves Invariant under Projective Transformation.Computer Vision and Image Understanding,2004,93(l): 34-64 [11] Bandera A,Marfil R,Antunez E.Affine-Invariant Contours Recognition Using an Incremental Hybrid Learning Approach.Pattern Recognition Letters,2009,30(14): 1310-1320 [12] Awrangjeb M,Lu G.An Improved Curvature Scale Space Corner Detector and a Robust Corner Matching Approach for Transformed Image Identification.IEEE Trans on Image Processing,2008,17(12): 2425-2441 [13] Mei Xiangming,Liu Zengxian,Jiang Huichun.Higher Geometry.3rd Edition.Beijing,China: Higher Education Press,2008 (in Chinese) (梅向明,刘增贤,江汇淳.高等几何.第三版.北京:高等教育出版社,2008) [14] He X C,Yung N H C.Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support // Proc of the 17th International Conference on Pattern Recognition.Cambridge,UK,2004: 791-794 [15] Zuliani M,Bertelli L,Kenney C S,et al.Drums,Curve Descriptors and Affine Invariant Region Matching.Image and Vision Computing,2008,26(3): 347-360 |
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