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Proceedings Paper

Human body region enhancement method based on Kinect infrared imaging
Author(s): Lei Yang; Yubo Fan; Xiaowei Song; Wenjing Cai
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Paper Abstract

To effectively improve the low contrast of human body region in the infrared images, a combing method of several enhancement methods is utilized to enhance the human body region. Firstly, for the infrared images acquired by Kinect, in order to improve the overall contrast of the infrared images, an Optimal Contrast-Tone Mapping (OCTM) method with multi-iterations is applied to balance the contrast of low-luminosity infrared images. Secondly, to enhance the human body region better, a Level Set algorithm is employed to improve the contour edges of human body region. Finally, to further improve the human body region in infrared images, Laplacian Pyramid decomposition is adopted to enhance the contour-improved human body region. Meanwhile, the background area without human body region is processed by bilateral filtering to improve the overall effect. With theoretical analysis and experimental verification, the results show that the proposed method could effectively enhance the human body region of such infrared images.

Paper Details

Date Published: 31 October 2016
PDF: 9 pages
Proc. SPIE 10020, Optoelectronic Imaging and Multimedia Technology IV, 100201A (31 October 2016); doi: 10.1117/12.2246458
Show Author Affiliations
Lei Yang, Zhongyuan Univ. of Technology (China)
Yubo Fan, Xi'an Jiaotong Univ. (China)
Xiaowei Song, Zhongyuan Univ. of Technology (China)
Wenjing Cai, Zhongyuan Univ. of Technology (China)


Published in SPIE Proceedings Vol. 10020:
Optoelectronic Imaging and Multimedia Technology IV
Qionghai Dai; Tsutomu Shimura, Editor(s)

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