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Measuring the Main Parameters of the Human Body in Images by Canny Edge Detector

Received: 12 August 2013     Published: 10 September 2013
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Abstract

The main parameters of the human body can identify and estimate images easier. In this research, various images of people (short, long, lean and obese) were examined and their main features were extracted from the images. In this paper, four types of people in 2D dimension image will be tested and proposed. The system will extract the size and the advantage of them (such as: tall fat, short fat, tall thin and short thin) from images. Fat and thin, according to their result from the human body that has been extract from image, will be obtained. Also the system extract every size of human body such as length, width and shown them in the output.

Published in Science Journal of Circuits, Systems and Signal Processing (Volume 2, Issue 5)
DOI 10.11648/j.cssp.20130205.11
Page(s) 100-105
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2013. Published by Science Publishing Group

Keywords

Analysis of Image Processing, Canny Edge Detection, Measurement, Pose Estimation

References
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Cite This Article
  • APA Style

    Mousa Mojarrad, Sedigheh Kargar. (2013). Measuring the Main Parameters of the Human Body in Images by Canny Edge Detector. Science Journal of Circuits, Systems and Signal Processing, 2(5), 100-105. https://doi.org/10.11648/j.cssp.20130205.11

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    ACS Style

    Mousa Mojarrad; Sedigheh Kargar. Measuring the Main Parameters of the Human Body in Images by Canny Edge Detector. Sci. J. Circuits Syst. Signal Process. 2013, 2(5), 100-105. doi: 10.11648/j.cssp.20130205.11

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    AMA Style

    Mousa Mojarrad, Sedigheh Kargar. Measuring the Main Parameters of the Human Body in Images by Canny Edge Detector. Sci J Circuits Syst Signal Process. 2013;2(5):100-105. doi: 10.11648/j.cssp.20130205.11

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  • @article{10.11648/j.cssp.20130205.11,
      author = {Mousa Mojarrad and Sedigheh Kargar},
      title = {Measuring the Main Parameters of the Human Body in Images by Canny Edge Detector},
      journal = {Science Journal of Circuits, Systems and Signal Processing},
      volume = {2},
      number = {5},
      pages = {100-105},
      doi = {10.11648/j.cssp.20130205.11},
      url = {https://doi.org/10.11648/j.cssp.20130205.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cssp.20130205.11},
      abstract = {The main parameters of the human body can identify and estimate images easier. In this research, various images of people (short, long, lean and obese) were examined and their main features were extracted from the images. In this paper, four types of people in 2D dimension image will be tested and proposed. The system will extract the size and the advantage of them (such as: tall fat, short fat, tall thin and short thin) from images. Fat and thin, according to their result from the human body that has been extract from image, will be obtained. Also the system extract every size of human body such as length, width and shown them in the output.},
     year = {2013}
    }
    

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  • TY  - JOUR
    T1  - Measuring the Main Parameters of the Human Body in Images by Canny Edge Detector
    AU  - Mousa Mojarrad
    AU  - Sedigheh Kargar
    Y1  - 2013/09/10
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    N1  - https://doi.org/10.11648/j.cssp.20130205.11
    DO  - 10.11648/j.cssp.20130205.11
    T2  - Science Journal of Circuits, Systems and Signal Processing
    JF  - Science Journal of Circuits, Systems and Signal Processing
    JO  - Science Journal of Circuits, Systems and Signal Processing
    SP  - 100
    EP  - 105
    PB  - Science Publishing Group
    SN  - 2326-9073
    UR  - https://doi.org/10.11648/j.cssp.20130205.11
    AB  - The main parameters of the human body can identify and estimate images easier. In this research, various images of people (short, long, lean and obese) were examined and their main features were extracted from the images. In this paper, four types of people in 2D dimension image will be tested and proposed. The system will extract the size and the advantage of them (such as: tall fat, short fat, tall thin and short thin) from images. Fat and thin, according to their result from the human body that has been extract from image, will be obtained. Also the system extract every size of human body such as length, width and shown them in the output.
    VL  - 2
    IS  - 5
    ER  - 

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Author Information
  • Department of Computer, Firoozabad Branch, Islamic Azad University, Firoozabad, Iran

  • Islamic Azad University, Bushehr Science and Research Branch , Bushehr, Iran

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