Share Email Print
cover

Proceedings Paper

Study on real-time registration in dual spectrum low level light night vision technique
Author(s): Lian-fa Bai; Yi Zhang; Chuang Zhang; Qian Chen; Guo-hua Gu
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 low level light (LLL) color night vision technology, dual spectrum images with respective special information were acquired, and target identification probability would be effectively improved through dual spectrum image fusion. Image registration is one of the key technologies during this process. Current dual spectrum image registration methods mainly include dual imaging channel common optical axis scheme and image characteristic pixel searching scheme. In dual imaging channel common optical axis scheme, additional prismatic optical components should be used, and large amount of radiative energy was wasted. In image characteristic pixel searching scheme, complicated arithmetic made it difficult for its real time realization. In this paper, dual channel dual spectrum LLL color night vision system structure feature and dual spectrum image characteristics was studied, dual spectrum image gray scale symbiotic matrix 2-dimensional histogram was analysed, and a real time image registration method including electronic digital shifting, pixel extension and extraction was put forward. By the analysis of spatial gray-scale relativity of fusion image, registration precision is quantitatively expressed. Emulation experiments indicate that this arithmetic is fast and exact for our dual channel dual spectrum image registration. This method was realized on dual spectrum LLL color night vision experimental apparatus based on Texas Instruments digital video processing device DM642.

Paper Details

Date Published: 6 August 2009
PDF: 6 pages
Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 73841O (6 August 2009); doi: 10.1117/12.835652
Show Author Affiliations
Lian-fa Bai, Nanjing Univ. of Science & Technology (China)
Yi Zhang, Nanjing Univ. of Science & Technology (China)
Chuang Zhang, Nanjing Univ. of Information Science and Technology (China)
Qian Chen, Nanjing Univ. of Science & Technology (China)
Guo-hua Gu, Nanjing Univ. of Science & Technology (China)


Published in SPIE Proceedings Vol. 7384:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications
Kun Zhang; Xiang-jun Wang; Guang-jun Zhang; Ke-cong Ai, Editor(s)

© SPIE. Terms of Use
Back to Top