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

Mousa Mojarrad; Sedigheh Kargar

doi:doi:10.11648/j.cssp.20130205.11

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

Mousa Mojarrad, Sedigheh Kargar

Published in Science Journal of Circuits, Systems and Signal Processing (Volume 2, Issue 5)

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

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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
PY  - 2013
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

Mousa Mojarrad

Department of Computer, Firoozabad Branch, Islamic Azad University, Firoozabad, Iran
Sedigheh Kargar

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

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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

Copy | Download

@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}
}

Copy | Download

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
PY  - 2013
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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