吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (6): 1994-1998.doi: 10.13229/j.cnki.jdxbgxb201506037

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Recognition of digital image based on wavelet space feature spectrum entropy

XIAO Zhong-jie1,2   

  1. 1.Department of Mathematics and Computer Science, Wuyi University, Wuyishan 354300, China;
    2.School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • Received:2014-01-08 Online:2015-11-01 Published:2015-11-01

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Abstract: The current recognition accuracy of digital image is lower. To overcome this problem, the method of image feature extraction based on wavelet space feature spectrum entropy is proposed. According to the principle that the energy is equal before and after the wavelet transform, the matrix of wavelet energy model is constructed. Then, the singular value decomposition of the matrix is performed. Finally, the feature spectrum entropy of the singular value is taken as the image feature. Experimental results show that the proposed image feature extraction method can obtain higher image recognition accuracy, and the effectiveness and practicality are proved.

Key words: image processing, digital image, feature extraction, wavelet transform, feature spectrum entropy

CLC Number: 

  • TP391
[1] 张家怡. 图像识别的技术现状和发展趋势[J]. 电脑知识与技术,2010,21(6):6045-6046.
Zhang Jia-yi. Current situation and perspective of image recognition technology[J].Computer Knowledge and Technology,2010,21(6):6045-6046.
[2] 罗翌陈, 杨辉华, 李灵巧,等. SIFT算法在CUDA加速下的实时人物识别与定位[J]. 计算机科学, 2012, 39(11A): 391-394.
Luo Yi-chen, Yang Hui-hua, Li Ling-qiao, et al. STIF algorithm on the CUDA-accelerated real-time character recognition and positioning[J].Computer Science, 2012, 39(11A): 391-394.
[3] 张浩, 王玮, 徐丽杰,等. 图像识别技术在电力设备监测中的应用[J]. 电力系统保护与控制, 2010, 38(6): 88-91.
Zhang Hao,Wang Wei,Xu Li-jie,et al. Application of image recognition technology in electrical equipment on-line monitoring[J]. Power System Protection and Control, 2010, 38(6): 88-91.
[4] 孙继平. 基于图像识别的煤岩界面识别方法研究[J]. 煤炭科学技术, 2011, 39(2): 77-79.
Sun Ji-ping. Study on identified method of coal and rock interface based on image identification[J]. Coal Science and Technology, 2011, 39(2): 77-79.
[5] 吴忠, 朱国龙, 黄葛峰,等. 基于图像识别技术的手写数字识别方法[J]. 计算机技术与发展, 2011, 21(12): 48-51.
Wu Zhong,Zhu Guo-long,Huang Ge-feng,et al. Handwritten digit recognition based on image recognition system[J].Computer Technology and Development, 2011, 21(12): 48-51.
[6] 陈展东, 白宝兴, 韩成, 等. 数字识别算法研究[J]. 长春理工大学学报:自然科学版, 2010, 33(1): 147-151.
Chen Zhan-dong,Bai Bao-xing,Han Cheng,et al. Algorithm for numeral recognition[J]. Journal of Changchun University of Science and Technology(Natural Science Edition), 2010, 33(1): 147-151.
[7] 徐琴珍, 杨绿溪. 基于改进的混合学习模型的手写阿拉伯数字识别方法[J]. 电子与信息学报, 2010, 32(2): 433-438.
Xu Qin-zhen, Yang Lyu-xi. An improved hybrid learning model based handwritten digits recognition approach[J]. Journal of Electronics & Information Technology, 2010, 32(2): 433-438.
[8] 杜梅, 赵怀慈. 手写数字识别的研究[J]. 计算机工程与设计, 2010, 31(15): 3464-3467.
Du Mei, Zhao Huai-ci. Research on handwritten digit character recognition[J]. Computer Engineering and Design, 2010, 31(15): 3464-3467.
[9] Hammond D K, Vandergheynst P, Gribonval R. Wavelets on graphs via spectral graph theory[J]. Applied and Computational Harmonic Analysis, 2011, 30(2): 129-150.
[10] 丁伟杰, 周国民, 任文华. 基于小波分解和颜色熵的浮游生物图像识别[J]. 计算机工程, 2008, 34(14): 188-190.
Ding Wei-jie, Zhou Guo-min, Ren Wen-hua. Plankton image recognition based on wavelet decomposition and color entropy[J] . Computer Engineering,2008, 34(14): 188-190.
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