| Citation: | LU Yongqiang, LI Zhiyang, CHEN Yinan, et al. Two-dimensional shape recognition based on contour and skeleton sequence coding[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(12): 2523-2532. doi: 10.13700/j.bh.1001-5965.2019.0376(in Chinese)
|
Two-dimensional shape recognition is a fundamental problem in object recognition, which is widely used in trademark retrieval, fingerprint recognition, object location, image retrieval and other fields. Recently, two-dimensional shape recognition based on bioinformatics has become a new research direction, whose basic idea is to transform the contour of a planar shape into a biological information sequence. The two-dimensional shape matching and recognition are then achieved by the standard alignment tools of such biological information sequence. However, the classic coding method still suffers from the problems of code redundancy and low accuracy. In this paper, we present a new coding method based on both the shape contour and skeleton sequence. Firstly, skeletons are used to represent slender branches of the shape to reduce coding redundancy. Secondly, the contour and skeleton are coded in different ways to compact the code and improve the matching accuracy. Finally, extensive shape recognition experiments are conducted on three public datasets and the proposed method is compared with a variety of shape recognition methods. The experimental results demonstrate that the proposed method has achieved higher performance in several experiments, and the recognition accuracy rate is improved by nearly 5% compared with basic shape feature description methods.
| [1] |
BELONGIE S, MALIK J, PUZICHA J.Shape matching and object recognition using shape contexts[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(4):509-522. doi: 10.1109/34.993558
|
| [2] |
LING H, JACOBS W D.Shape classification using the inner-distance[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(2):286-299. doi: 10.1109/TPAMI.2007.41
|
| [3] |
LING H, YANG X, LATECKI J L.Balancing deformability and discriminability for shape matching[C]//11th European Conference on Computer Vision.Berlin: Springer-Verlag, 2010, 6313(3): 411-424.
|
| [4] |
KRIZHEVSKY A, SUTSKEVER I, HINTON G E.ImageNet classification with deep convolutional neural networks[C]//NIPS'12 Proceedings of the 25th International Conference on Neural Information Processing Systems, 2012: 1097-1105.
|
| [5] |
BICEGO M, LOVATO P.A bioinformatics approach to 2D shape classification[J]. Computer Vision and Image Understanding, 2016, 145:59-69. doi: 10.1016/j.cviu.2015.11.011
|
| [6] |
XU D, ALAMEDA-PINEDA X, SONG J, et al.Cross-paced representation learning with partial curricula for sketch-based image retrieval[J]. IEEE Transactions on Image Processing, 2018, 27(9):4410-4421. doi: 10.1109/TIP.2018.2837381
|
| [7] |
BISWAS S, AGGARWAL G, CHELLAPPA R.Efficient indexing for articulation invariant shape matching and retrieval[C]//2007 IEEE Conference on Computer Vision and Pattern Recognition.Piscataway, NJ: IEEE Press, 2007: 1-8.
|
| [8] |
BLUM H.A transformation for extracting new descriptors of shape[M]//WATHEN DUNN W.Models for the perception of speech and visual form model.Cavnbridge: MIT Press, 1967: 362-380.
|
| [9] |
陈展展, 汤进, 罗斌, 等.基于最优子序列双射的骨架树匹配[J].计算机工程与应用, 2011, 41(7):162-165. doi: 10.3778/j.issn.1002-8331.2011.07.047
CHEN Z Z, TANG J, LUO B, et al.Skeleton tree matching based on optimal subsequence bijection[J]. Computer Engineering and Applications, 2011, 41(7):162-165(in Chinese). doi: 10.3778/j.issn.1002-8331.2011.07.047
|
| [10] |
BAI X, LATECKI J L.Path similarity skeleton graph matching[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(7):1282-1292. doi: 10.1109/TPAMI.2007.70769
|
| [11] |
NEEDLEMAN S, WUNSCH C.A general method applicable to the search for similarities in the amino acid sequence of two proteins[J]. Journal of Molecular Biology, 1970, 48(31):443-453. doi: 10.1016-0022-2836(70)90057-4/
|
| [12] |
SMITH T, WATERMAN S M M.Identification of common molecular subsequences[J]. Journal of Molecular Biology, 1981, 147(1):195-197. doi: 10.1016/0022-2836(81)90087-5
|
| [13] |
ALTSCHUL S, GISH W, MILLER W, et al.Basic local alignment search tool[J]. Journal of Molecular Biology, 1990, 2145(3):403-410.
|
| [14] |
LARKIN M, BLACKSHIELDS G, BROWN N, et al.Clustal w and clustal x version 2.0[J]. Bioinformatics, 2007, 23(21):2947-2948. doi: 10.1093/bioinformatics/btm404
|
| [15] |
MARIE R, LABBANI-IGBIDA O, MOUADDIB M E.The delta medial axis:A fast and robust algorithm for filtered skeleton extraction[J]. Pattern Recognition, 2016, 56:26-39. doi: 10.1016/j.patcog.2016.02.011
|
| [16] |
GOS'CIEWSKA K, FREJLICHOWSKI D.Silhouette-based action recognition using simple shape descriptors[C]//Lecture Notes in Computer Science.Berlin: Springer-Verlag, 2018, 11114: 413-424.
|
| [17] |
BAI X, YANG X, LATECKI J L, et al.Learning context-sensitive shape similarity by graph transduction[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 32(5):861-874.
|
| [18] |
WANG J, LI Y, BAI X, et al.Learning context-sensitive similarity by shortest path propagation[J]. Pattern Recognition, 2011, 44(10):2367-2374.
|
| [19] |
LIN L, ZENG K, LIU X, et al.Layered graph matching by composite cluster sampling with collaborative and competitive interactions[C]//2009 IEEE Conference on Computer Vision and Pattern Recognition.Piscataway, NJ: IEEE Press, 2009: 1351-1358.
|
| [20] |
MCNEILL G, VIJAYAKUMAR S.Hierarchical procrustes matching for shape retrieval[C]//2006 IEEE Conference on Computer Vision and Pattern Recognition.Piscataway, NJ: IEEE Press, 2006: 885-894.
|
| [21] |
DALIRI R M, TORRE V.Robust symbolic representation for shape recognition and retrieval[J]. Pattern Recognition, 2008, 41(5):1782-1798. doi: 10.1016/j.patcog.2007.10.020
|
| [22] |
BAI X, LIU W, TU Z.Integrating contour and skeleton for shape classification[C]//2009 IEEE 12th International Conference on Computer Vision Workshops.Piscataway, NJ: IEEE Press, 2009: 360-367.
|
| [23] |
SUN B K, SUPER J B.Classification of contour shapes using class segment sets[C]//2005 IEEE Conference on Computer Vision and Pattern Recognition.Piscataway, NJ: IEEE Press, 2005: 727-733.
|
| [24] |
WANG X, FENG B, BAI X, et al.Bag of contour fragments for robust shape classification[J]. Pattern Recognition, 2014, 47(5):2116-2125.
|
| [25] |
LEIBE B, SCHIELE B.Analyzing appearance and contour based methods for object categorization[C]//2003 IEEE Conference on Computer Vision and Pattern Recognition.Piscataway, NJ: IEEE Press, 2003: 409-415.
|
| [26] |
HU X R, JIA W, ZHAO Y, et al.Perceptually motivated morphological strategies for shape retrieval[J]. Pattern Recognition, 2012, 45(9):3222-3230. doi: 10.1016/j.patcog.2012.02.020
|
| [27] |
DALIRI R M, TORRE V.Shape recognition based on Kernel-edit distance[J]. Computer Vision and Image Understanding, 2010, 114(10):1097-1103. doi: 10.1016/j.cviu.2010.07.002
|
| [28] |
ATABAY A H.A convolutional neural network with a new architecture applied on leaf classification[J]. ⅡOAB Journal, 2016, 7(5):326-331.
|
| [29] |
GAO L, SONG J, NIE F, et al.Optimal graph learning with partial tags and multiple features for image and video annotation[C]//2015 IEEE Conference on Computer Vision and Pattern Recognition.Piscataway, NJ: IEEE Press, 2015: 4371-4379.
|
| [1] | TIAN Jiaqi, QIN Guoxuan, ZHANG Wei. Fire-and-smoke detection algorithm based on convolutional attention and feature fusion[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2024.0173 |
| [2] | HUO Jiuyuan, LI Xin, CHANG Chen, LI Yufeng, ZHANG Yaonan. Roll bearing life prediction based on multi-scale feature fusion[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2024.0161 |
| [3] | CHEN Kai, HUANG Yujie, ZHAO Xiaodong, WANG Pengfei, CHEN Kai, LIN Yanze, LEI Yichen. Object Tracking Algorithm Based on Deep Feature Modification[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2024.0196 |
| [4] | WU Kaijun, PU Zhuo. Object Detection for UAV Viewpoint Images based on Feature Information Complementation and Enhancement[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2024.0190 |
| [5] | GOU J N，DU S S，WANG S D，et al. Insulator self-explosion detection in transmission line based on CenterNet fusing lightweight features[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（7）：2161-2171 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2022.0602. |
| [6] | WU T X，JI X，WANG H G，et al. Relation extraction based on fusion of graph structure and sequence features[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（9）：2763-2771 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2022.0706. |
| [7] | ZHANG N，CHENG D Q，KOU Q Q，et al. Person re-identification based on random occlusion and multi-granularity feature fusion[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（12）：3511-3519 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2022.0091. |
| [8] | WANG J H，ZHOU D Y，CAO J，et al. Fault diagnosis of ball mill rolling bearing based on multi-feature fusion and RF[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（12）：3253-3264 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2022.0069. |
| [9] | LI C，HE Y Z，HU Y. Characteristic model control of nutation target contact detumbling[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（11）：2977-2988 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2021.0798. |
| [10] | MENG Wei-jun, AN Wen, MA Su-gang, YANG Xiao-bao. An Object Detection Algorithm Based on Feature Enhancement and Adaptive Threshold Non-maximum Suppression[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2023.0534 |
| [11] | HUANG Yu-jie, CHEN Kai, WANG Zi-yuan, WANG Zi-teng. A crowd tracking method based on fusion features under multi-vision[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2023.0416 |
| [12] | LIU Fang, YANG Yu-yan, WANG Xin. UAV tracking algorithm based on feature fusion and block attention[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2023.0281 |
| [13] | ZHANG Y X，WANG X J，WANG S P，et al. Mechanism of butterfly forward flight and prototype verification based on characteristic motion observation[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（7）：1651-1660 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2021.0497. |
| [14] | CHEN Y，CHEN J，TAO M F. Mural inpainting with generative adversarial networks based on multi-scale feature and attention fusion[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（2）：254-264 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2021.0242. |
| [15] | ZHANG P，ZHOU Q X，YU H Q，et al. Fast detection method of mental fatigue based on EEG signal characteristics[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（1）：145-154 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2021.0211. |
| [16] | ZHENG Jian, HE Chao-hui, YU Xiang-chun. Adjacent Feature Fusion and Feature Decoupling For one-stage Object Detection[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2023.0249 |
| [17] | ZHANG H B，WANG X，XU Y H，et al. Relative entropy method in target recognition with fuzzy features[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（12）：3547-3558 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2020.0237. |
| [18] | DAI P Z，LIU X，ZHANG X，et al. An iterative pedestrian detection method sensitive to historical information features[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（9）：2493-2500 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2021.0665. |
| [19] | LI Z X，LIU C，WU S H，et al. Segmentation extraction of feature points for time series pattern matching[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（7）：1593-1599 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2021.0546. |
| [20] | ZHENG Yuxiang, HAO Pengyi, WU Dong'en, BAI Cong. Medical image segmentation based on multi-layer features and spatial information distillation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(8): 1409-1417. doi: 10.13700/j.bh.1001-5965.2021.0504 |
| 1. | 郑伟，于洋，刘砚菊. 骨架形状特征的目标识别算法. 沈阳理工大学学报. 2022(01): 14-19 .  | |
| 2. | 刘磊，邹媛媛，陈泊璇. 二维形状特征描述及分类识别研究进展综述. 计算机工程与应用. 2021(14): 39-47 . |
Figures(11) / Tables(4)
Copyright © Journal of Beijing University of Aeronautics and Astronautics
Address: Editorial Department of Journal of Beijing University of Aeronautics and Astronautics, 37 Xueyuan Road, Haidian District, Beijing Post Code: 100191 Email: jbuaa@buaa.edu.cn
Supported by:
Beijing Renhe Information Technology Co., Ltd.
Wu Hong, Li Qiushi, Guo Ming, et al. Aerodynamic optimization method of transonic fan rotor based on BVF[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(01): 14-17. (in Chinese)
DownLoad:
