Paper
17 July 1996 Minimizing the effects of threshold setting errors, detection, shading, and noise errors in fringe patterns
Jerzy M. Woznicki, Grzegorz Kukielka
Author Affiliations +
Abstract
This paper presents an overview of methods of error elimination during image processing and analysis, and more specially ofthe problems ofsetting the threshold errors, shading and noise. Of all the steps involved in measuring objects in an image, setting the threshold is the one which should be considered most careftilly. There are described following errors: threshold setting error, the offset threshold error, "halo" error and elimination methods. The process of setting the detection level should be standardised, whichever technique is adopted, and some form of check on a standard specimen should be incorporated into the image analysis routine if at all practicable. Shading is the best dealt with by using a shading correction step in the image processing, but operator can help by ensuring that illumination system of microscope for example is correctly centred, that specimen is flat, that the lamps on macroviewer all have the same wattage and are at the same distance from the specimen. Shading can be asymmetrical, and it can be present in the specimen itself as well as being introduced in the optical system. Noise is a function of system design, with no room for operator of the system to affect it, except by increasing the gain of the video amplification. Noise is minimised by operating the system at the optimum conditions of incident lighting.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jerzy M. Woznicki and Grzegorz Kukielka "Minimizing the effects of threshold setting errors, detection, shading, and noise errors in fringe patterns", Proc. SPIE 2860, Laser Interferometry VIII: Techniques and Analysis, (17 July 1996); https://doi.org/10.1117/12.276328
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KEYWORDS
Image analysis

Error analysis

Image processing

Fringe analysis

Binary data

Microscopes

Video

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