Bergen T, Wittenberg T, Münzenmayer C (2016)
Publication Status: Published
Publication Type: Journal article, Original article
Publication year: 2016
Publisher: SPRINGER HEIDELBERG
Book Volume: 11
Pages Range: 397-405
Journal Issue: 3
DOI: 10.1007/s11548-015-1273-3
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 fewpapers have been published about howto 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.
APA:
Bergen, T., Wittenberg, T., & Münzenmayer, C. (2016). Shading correction for endoscopic images using principal color components. International Journal of Computer Assisted Radiology and Surgery, 11(3), 397-405. https://doi.org/10.1007/s11548-015-1273-3
MLA:
Bergen, Tobias, Thomas Wittenberg, and Christian Münzenmayer. "Shading correction for endoscopic images using principal color components." International Journal of Computer Assisted Radiology and Surgery 11.3 (2016): 397-405.
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