Translator Disclaimer
26 June 2017 Motion blur characterization and compensation for line scan (1D) cameras
Author Affiliations +
Line sensors (1D) are often used for quality monitoring of moving objects in industrial environments. They are, for instance, used to derive dimensional and geometrical information of moving objects or products. Their high sampling rate makes them well suited for retrieving information of fast moving objects. However, in fast motion the 1D sensor, as any other kind of image sensor, introduces artefacts commonly referred to as motion blur. In this paper, we discuss (1D) sensor motion blur and methods to compensate for it. An experimental set-up and a simulation tool have been developed to characterize motion blur of (1D) sensors. Once properly characterized, a deblurring algorithm (based on a non-blind deconvolution method) has been developed to reconstruct a deblurred image. The results are validated using experimental data collected from a vibrating string. Comparison between dimensional feature measurements of the vibrating string, without and with deblurring methods are illustrated. The analysis shows that a decrease by a factor of two on the measurement variance can be achieved by applying the proposed deblurring method.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jose Oramas, Agusmian P. Ompusunggu, Tinne Tuytelaars, and Abdellatif Bey-Temsamani "Motion blur characterization and compensation for line scan (1D) cameras", Proc. SPIE 10334, Automated Visual Inspection and Machine Vision II, 1033402 (26 June 2017); doi: 10.1117/12.2271858;


Portable digital device UHDTV panoramic image formation
Proceedings of SPIE (February 07 2017)
Monocular passive range sensing using defocus information
Proceedings of SPIE (February 28 1991)
Morphological demosaicking
Proceedings of SPIE (February 10 2009)
Digital neutral density filter for moving picture cameras
Proceedings of SPIE (January 27 2010)
Plant health monitoring with machine vision
Proceedings of SPIE (January 05 1995)

Back to Top