Automatic Segmentation of FLIR Image Based on Gradient Operator

被引：0
|
作者：
Wang, Xinsai [1 ]
He, Jing [1 ]
机构：
[1] Air Def Forces Command Acad, Infrared & Imaging Nav Technol Lab, Zhengzhou 450052, Peoples R China
来源：
2012 WORLD AUTOMATION CONGRESS (WAC) | 2012年
关键词：
Gradient operator histogram; chi(2) distribution function; Segmentation threshold;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the FLIR automatic infrared object tracing system, the gradient histogram of the FLIR image is unimodality based on tremendous statistics of the gradient histogram of FLIR image. Moreover the gradient histogram of both objects and background can be fitted by chi(2) distribution density function with different degree of freedom. According to the above statistical characteristics of the gradient histogram and the least error-classified probability, an automatic estimation method of gradient histogram segmentation threshold is presented and validated in this paper. And the average gradient is the approximation of the optimal segmentation threshold through theoretical analysis. Finally this method is proved to be effective and practical by the segmentation experiments of the FLIR image in the real conditions.
引用
收藏
页数：4
相关论文
共 50 条
  • [21] An automatic and accurate method of full heart segmentation from CT image based on linear gradient model
    Yang, Zili
    [J]. MODERN PHYSICS LETTERS B, 2017, 31 (19-21):
  • [22] FLIR image segmentation based on DA-GMRF model - art. no. 678610
    Qi, Lin
    Shi, Zelin
    [J]. MIPPR 2007: AUTOMATIC TARGET RECOGNITION AND IMAGE ANALYSIS; AND MULTISPECTRAL IMAGE ACQUISITION, PTS 1 AND 2, 2007, 6786 : 78610 - 78610
  • [23] Image Segmentation based on Improved Gradient Vector Flow
    Zhang, Hong
    Feng, Lingzhi
    Mu, Ying
    You, Yuhu
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, 2008, : 765 - +
  • [24] APPLICATION OF GRADIENT BASED IMAGE SEGMENTATION TO SAR IMAGERY
    Piramanayagam, S.
    Cutler, P. J.
    Schwartzkopf, W.
    Koehler, F. W.
    Saber, E.
    [J]. 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 4316 - 4319
  • [25] A Novel Memory Gradient Based for Efficient Image Segmentation
    Zhang, Kun
    Wu, Jianguo
    Zhang, Peijian
    [J]. ADVANCED COMPUTATIONAL METHODS IN LIFE SYSTEM MODELING AND SIMULATION, LSMS 2017, PT I, 2017, 761 : 502 - 512
  • [26] Image segmentation based on integrated gradient vector field
    Peng, Jinye
    Yang, Wanhai
    He, Jingfang
    [J]. 2006 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, PTS 1 AND 2, PROCEEDINGS, 2006, : 1853 - 1856
  • [27] Hierarchical watershed segmentation based on gradient image simplification
    Cokelaer, Francois
    Dalla Mura, Mauro
    Chanussot, Jocelyn
    [J]. IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XVIII, 2012, 8537
  • [28] Automatic Segmentation of Optic Disc by Gradient Minimization Based Approach
    Porwal, Prasanna
    Pachade, Samiksha
    Kadethankar, Atharva
    Joshi, Apurv
    Patwardhan, Vedant
    Kamble, Ravi
    Kokare, Manesh
    Meriaudeau, Fabrice
    [J]. 2018 INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEM (ICIAS 2018) / WORLD ENGINEERING, SCIENCE & TECHNOLOGY CONGRESS (ESTCON), 2018,
  • [29] An Automatic Segmentation Algorithm Based On Clustered Texture Image
    Qiu, Q.
    Duan, J.
    Yin, Y.
    [J]. MEDICAL PHYSICS, 2018, 45 (06) : E216 - E217
  • [30] AUTOMATIC SEGMENTATION OF INFRARED IMAGE BASED ON χ2 DISTRIBUTION
    Wang, Xinsai
    Liu, Yu
    Jing, He
    [J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2011, 17 (05): : 509 - 517
12345