Share Email Print
cover

Proceedings Paper

Scene recognition and colorization for vehicle infrared images
Author(s): Junjie Hou; Shaoyuan Sun; Zhenyi Shen; Zhen Huang; Haitao Zhao
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In order to make better use of infrared technology for driving assistance system, a scene recognition and colorization method is proposed in this paper. Various objects in a queried infrared image are detected and labelled with proper categories by a combination of SIFT-Flow and MRF model. The queried image is then colorized by assigning corresponding colors according to the categories of the objects appeared. The results show that the strategy here emphasizes important information of the IR images for human vision and could be used to broaden the application of IR images for vehicle driving.

Paper Details

Date Published: 1 November 2016
PDF: 5 pages
Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101572V (1 November 2016); doi: 10.1117/12.2247138
Show Author Affiliations
Junjie Hou, Donghua Univ. (China)
Digitized Textile & Fashion Technology (China)
Shaoyuan Sun, Donghua Univ. (China)
Digitized Textile & Fashion Technology (China)
Zhenyi Shen, Donghua Univ. (China)
Digitized Textile & Fashion Technology (China)
Zhen Huang, Donghua Univ. (China)
Digitized Textile & Fashion Technology (China)
Haitao Zhao, East China Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10157:
Infrared Technology and Applications, and Robot Sensing and Advanced Control

© SPIE. Terms of Use
Back to Top