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| Study on Human Body Contour Extraction from Images Based on HSV Color Model |
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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.
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| Cite this article: |
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Min Yang,Hongqin Dai,Panpan Guo, et al. Study on Human Body Contour Extraction from Images Based on HSV Color Model[J]. Journal of Fiber Bioengineering and Informatics, 2015, 8(3): 501-511.
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2015, Vol. 8 
