Measuring the Main Parameters of the Human Body in Images by Canny Edge Detector
Science Journal of Circuits, Systems and Signal Processing
Volume 2, Issue 5, October 2013, Pages: 100-105
Received: Aug. 12, 2013; Published: Sep. 10, 2013
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Authors
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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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.
Keywords
Analysis of Image Processing, Canny Edge Detection, Measurement, Pose Estimation
To cite this article
Mousa Mojarrad, Sedigheh Kargar, Measuring the Main Parameters of the Human Body in Images by Canny Edge Detector, Science Journal of Circuits, Systems and Signal Processing. Vol. 2, No. 5, 2013, pp. 100-105. doi: 10.11648/j.cssp.20130205.11
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