Study on Human Body Contour Extraction from Images Based on HSV Color Model
DOI:
10.3993/jfbim00148
Journal of Fiber Bioengineering & Informatics, 8 (2015), pp. 501-511.
Published online: 2015-08
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@Article{JFBI-8-501,
author = {},
title = {Study on Human Body Contour Extraction from Images Based on HSV Color Model},
journal = {Journal of Fiber Bioengineering and Informatics},
year = {2015},
volume = {8},
number = {3},
pages = {501--511},
abstract = {Color is one of the most powerful and important types of visual information. Color information of images
plays an important role in human body contour extraction process. In most of the current human body
contour extraction systems, color images are converted into gray images first and then human body
contours are extracted from these gray images. In this process, a large mount of color information is lost
and the extraction results are inaccurate. Besides, strict requirements are put forward about objective
conditions when taking pictures in these systems, such as background, dress, pixel of cameras, light
and so on. In order to solve these problems, HSV color model in line with human visual habits was
adopted to extract human body contours in this paper. Human body contours were directly extracted
from color images by analyzing and changing H, S and V values. MATLAB software was used to write a
human body contour extraction program. Results of experiments show that the accuracy of extraction
is improved. The requirements about the background, dress, pixel, light and other factors are reduced
through adopting HSV color space. Automatic human body contour extraction under complex conditions
is realized in this paper, which can lay a foundation for the development of remote automatic human
body measurement systems. Research results of this paper provide a reliable basis for the development
of apparel electronic-commerce and personalized customization.},
issn = {2617-8699},
doi = {https://doi.org/10.3993/jfbim00148},
url = {http://global-sci.org/intro/article_detail/jfbi/4731.html}
}
TY - JOUR
T1 - Study on Human Body Contour Extraction from Images Based on HSV Color Model
JO - Journal of Fiber Bioengineering and Informatics
VL - 3
SP - 501
EP - 511
PY - 2015
DA - 2015/08
SN - 8
DO - http://doi.org/10.3993/jfbim00148
UR - https://global-sci.org/intro/article_detail/jfbi/4731.html
KW - Color Information
KW - Human Body Contour Extraction
KW - Color Images
KW - HSV Color Model
KW - Requirements about Conditions
AB - Color is one of the most powerful and important types of visual information. Color information of images
plays an important role in human body contour extraction process. In most of the current human body
contour extraction systems, color images are converted into gray images first and then human body
contours are extracted from these gray images. In this process, a large mount of color information is lost
and the extraction results are inaccurate. Besides, strict requirements are put forward about objective
conditions when taking pictures in these systems, such as background, dress, pixel of cameras, light
and so on. In order to solve these problems, HSV color model in line with human visual habits was
adopted to extract human body contours in this paper. Human body contours were directly extracted
from color images by analyzing and changing H, S and V values. MATLAB software was used to write a
human body contour extraction program. Results of experiments show that the accuracy of extraction
is improved. The requirements about the background, dress, pixel, light and other factors are reduced
through adopting HSV color space. Automatic human body contour extraction under complex conditions
is realized in this paper, which can lay a foundation for the development of remote automatic human
body measurement systems. Research results of this paper provide a reliable basis for the development
of apparel electronic-commerce and personalized customization.
Min Yang, Hongqin Dai, Panpan Guo & Guolian Liu. (2019). Study on Human Body Contour Extraction from Images Based on HSV Color Model.
Journal of Fiber Bioengineering and Informatics. 8 (3).
501-511.
doi:10.3993/jfbim00148
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