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International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

01.03.2016 | Original Article

Shading correction for endoscopic images using principal color components

verfasst von: Tobias Bergen, Thomas Wittenberg, Christian Münzenmayer

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 3/2016

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Abstract

Purpose

Inhomogeneous illumination often causes significant shading and vignetting effects in images captured by an endoscope. Most of the established shading correction methods are designed for gray-level images. Only few papers have been published about how to compensate for shading in color images. For endoscopic images with a distinct red coloring, these methods tend to produce color artifacts.

Method

A color shading correction algorithm for endoscopic images is proposed. Principal component analysis is used to calculate an appropriate estimate of the shading effect so that a one-channel shading correction can be applied without producing undesired artifacts.

Results

The proposed method is compared to established YUV and HSV color-conversion-based approaches. It produces superior results both on simulated and on real endoscopic images. Example images of using the proposed shading correction for endoscopic image mosaicking are presented.

Conclusion

A new method for shading correction is presented which is tailored to images with distinct coloring. It is beneficial for the visual impression and further image analysis tasks.

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Titel: Shading correction for endoscopic images using principal color components
verfasst von: Tobias Bergen
Thomas Wittenberg
Christian Münzenmayer
Publikationsdatum: 01.03.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 3/2016
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-015-1273-3

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Shading correction for endoscopic images using principal color components

Abstract

Purpose

Method

Results

Conclusion

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Springer Medizin

Abstract

Purpose

Method

Results

Conclusion

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