This paper proposes a novel shape representation method based on statistical features. According to the joint analysis on Centroid-Contour Distance (CCD) and chaincode, the silhouette is decomposed into several levels based on CCD. And then, the chaincode describing laying in each level is analyzed to extract the Joint Statistical of Centroid-Contour Distance and Chaincode (JSCCDC) descriptor for the silhouette. The similarity between different shapes can be measured by the city-block distance. Experiment results show that the proposed method describes both global and local features. Compared with traditional feature weighting method, JSCCDC is more accurate and reliable for shape matching and retrieval.
郭树旭,赵静,李雪妍. 基于中心-轮廓距离特征统计的形状表示方法[J]. 电子与信息学报, 2015, 37(6): 1365-1371.
Guo Shu-xu,Zhao Jing, Li Xue-yan. Research on Shape Representation Based on Statistical Features of Centroid-contour Distance. JEIT, 2015, 37(6): 1365-1371.
Zhou Yu, Liu Jun-tao, and Bai Xiang. Research and perspective on shape matching[J]. Acta Automatica Sinica, 2012, 38(6): 889-910.
[2]
Glauco V P, Marcos A B, and Celia A Z B. Image feature descriptor based on shape salience points[J]. Neurocomputing, 2013, 120(23): 156-163.
[3]
Torres R S, Falc?o A X, and Costa L F. A graph-based approach for multiscale shape analysis[J]. Pattern Recognition, 2004, 37(6): 1163-1174.
[4]
Alajlan N, Kamel M S, and Freeman G H. Geometry-based image retrieval in binary image databases[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2008, 30(6): 1003-1013.
[5]
Belongie S, Malik J, and Puzicha J. Shape matching and object recognition using shape contexts[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2002, 24(4): 509-522.
Sun Jing-le, Tang Lin-bo, Zhao Bao-jun, et al.. An improved shape descriptor of cluster of concentric discrete circles[J]. Journal of Electronics & Information Technology, 2013, 35(8): 1901-1906.
[7]
Bernier T and Landry J A. A new method for representing and matching shapes of natural objects[J]. Pattern Recognition, 2003, 36(8): 1711-1723.
Wang Bin, Shu Hua-zhong, Shi Chao-jian, et al.. A contour-based shape description and matching method[J]. Journal of Electronics & Information Technology, 2008, 30(4): 949-952.
[9]
Wang Zhi-yong, Chi Zhe-ru, and Feng Da-gan. Shape based leaf image retrieval[J]. IEE Proceedings-Vision, Image and Signal Processing, 2003, 150(1): 34-43.
Wang Xiao-ling and Xie Kang-lin. Novel shape-based image retrieval using direction code[J]. Journal of Harbin Institute of Technology, 2006, 38(9): 1545-1548.
[11]
Latecki L J, Lakaemper R, and Eckhatdt T. Shape descriptors for non-rigid shapes with a single closed contour[C]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hilton Head Island, USA, 2000: 424-429.
[12]
Zhang Deng-sheng and Lu Guo-jun. Shape-based image retrieval using generic Fourier descriptor[J]. Signal Processing: Image Communication, 2002, 17(10): 825-848.
[13]
Torres R S and Falc?o A X. Contour salience descriptors for effective image retrieval and analysis[J]. Image Vision Computing, 2007, 25(1): 3-13.
[14]
Liao S X and Pawlak M. On image analysis by moments[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 1996, 18(3): 254-266.
[15]
Nacéra L, Slimane L, Farouk L, et al.. Curve normalization for shape retrieval[J]. Signal Processing: Image Communication, 2014, 29(4): 556-571.