A Novel Method for Image Recognition Based on Polynomial Curve Fitting

被引：4
|
作者：
Ji, Chao [1 ]
Yang, Xiaodong [1 ]
Wang, Wei [1 ]
机构：
[1] Navy Submarine Acad, Dept Nav, Qingdao, Peoples R China
来源：
2015 8TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 1 | 2015年
关键词：
image recognition; polynomial curve fitting; complex invariant moments; invariant feature; similarity; INVARIANTS;
D O I：
10.1109/ISCID.2015.38
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Invariant feature is desirable in image recognition and computer vision, while feature matching is limited in the distance or the relative measurement between the image and the model. In this paper, we propose a novel method for image recognition based on polynomial curve fitting. Non-redundant complex moments are derived, that are invariant to the translation, constraint scale and rotation, and complex moments below 4th order are selected as the invariant feature. With the principle of polynomial curve fitting, similarity measurement between the fitting coefficients of the nonredundant complex invariants is calculated to describe the images. Finally it is applied in real ship images and its validation is analyzed. Experimental results presented show that the described method has good stability and can be used as an effective method for image recognition.
引用
收藏
页码：354 / 357
页数：4
相关论文
共 50 条
  • [1] A curve fitting based image segmentation method
    Shen, Wei
    Wu, Lifang
    Tu, Ling
    IACSIT-SC 2009: INTERNATIONAL ASSOCIATION OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY - SPRING CONFERENCE, 2009, : 71 - 75
  • [2] Fringe image processing method based on polynomial fitting
    Tao, W.
    Zhang, M.
    Pu, Z.B.
    Wan, S.
    Guangdian Gongcheng/Opto-Electronic Engineering, 2000, 27 (06): : 34 - 36
  • [3] A Novel Curve Fitting Feature Extraction Method for Hyperspectral Image
    Li, Li
    Ge, Hongwei
    Gao, Jianqiang
    Zhang, Yixin
    2018 8TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST 2018), 2018, : 353 - 356
  • [4] USE OF RESIDUALS IN FORSYTHES METHOD FOR POLYNOMIAL CURVE FITTING
    FYFE, DJ
    OKE, KH
    JOURNAL OF THE INSTITUTE OF MATHEMATICS AND ITS APPLICATIONS, 1979, 24 (01): : 99 - 108
  • [5] A Novel Automatic Lip Reading Method Based on Polynomial Fitting
    Li, Meng
    Cheung, Yiu-ming
    ACTIVE MEDIA TECHNOLOGY, 2010, 6335 : 296 - 305
  • [6] POLYNOMIAL CURVE FITTING WITH CONSTRAINT
    PECK, JEL
    SIAM REVIEW, 1962, 4 (02) : 135 - &
  • [7] Image digitization method based on curve fitting and computer aid technique
    Zhang, Rongsheng
    Wei, Xuefeng
    Li, Li
    Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering, 2008, 16 (04): : 504 - 510
  • [8] POLYNOMIAL CURVE FITTING METHOD FOR REFRIGERANT THERMODYNAMIC SATURATION PROPERTIES
    丁国良
    张春路
    李灏
    Journal of Shanghai Jiaotong University, 1999, (02) : 73 - 77
  • [9] A new algorithm of image segmentation using curve fitting based higher order polynomial smoothing
    Biswas, Soumen
    Ghoshal, Dibyendu
    Hazra, Ranjay
    OPTIK, 2016, 127 (20): : 8916 - 8925
  • [10] A Novel Method of Curve Fitting Based on Optimized Extreme Learning Machine
    Li, Michael
    Li, Lily D.
    APPLIED ARTIFICIAL INTELLIGENCE, 2020, 34 (12) : 849 - 865
12345