Paper
4 August 2009 Study on algorithm for night vision panoramic image basing on image segmentation and multimode displaying technology
Zhenhai Zhang, Kejie Li
Author Affiliations +
Abstract
Based on single panoramic annular lens optical system and external-low-luminance CCD sensors, 360-degree panoramic night vision image processing hardware platform were established. The night vision panoramic image algorithm was presented, grounding on the image segmentation and multimode displaying technology. The annular image can be unwrapped and corrected to conventional rectangular panorama by the panoramic image unwrapping algorithm. The night vision image enhancement algorithm, based on adaptive piecewise linear gray transformation (APLGT) and Laplacian of Gaussian (LOG) edge detection, were given. APLGT algorithm can be adaptively truncate the image histogram on both ends to obtain a smaller dynamic range so as to enhance the contrast of the night vision image. LOG algorithm can be propitious to find and detect dim small targets in night vision circumstance. After abundant experiment, the algorithm for night vision panoramic image was successfully implemented in TMS320DM642, basing on the image Segmentation and multimode displaying algorithm. And the system can reliably and dynamically detect 360-degree view field of panoramic night vision image.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhenhai Zhang and Kejie Li "Study on algorithm for night vision panoramic image basing on image segmentation and multimode displaying technology", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 738335 (4 August 2009); https://doi.org/10.1117/12.835005
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image enhancement

Panoramic photography

Night vision

Image segmentation

Image processing

Image processing algorithms and systems

Detection and tracking algorithms

RELATED CONTENT

Image edge detection based on Sparse Autoencoder network
Proceedings of SPIE (November 15 2018)
Image segmentation based on bi-stable system
Proceedings of SPIE (January 17 2008)
A Scheme For The Analysis Of Infinite Fringe Systems
Proceedings of SPIE (November 20 1989)
Human visual-system-based image enhancement
Proceedings of SPIE (May 02 2007)

Back to Top