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Wireless Capsule Endoscopy Images Enhancement by Tensor Based Diffusion

Authors: Baopu Li; Max Q.-H. Meng;

Wireless Capsule Endoscopy Images Enhancement by Tensor Based Diffusion

Abstract

To enhance the contrast and the details of the wireless capsule endoscopy images, which are used to diagnose the status of the human gastrointestinal tracts, we propose a tensor based diffusion method in this paper. After analyzing the structure tensor of the image in RGB color space, we focus on the properties of the nonlinear anisotropic diffusion. Then we design two diffusion strength functions to determine the anisotropic diffusion according to the local characteristics of the wireless capsule endoscopy images. Experimental results on real wireless capsule endoscopy images indicate effective enhancement of details and contrast by our new approach.

Related Organizations
Keywords

Endoscopes, Models, Statistical, Normal Distribution, Color, Reproducibility of Results, Endoscopy, Equipment Design, Image Enhancement, Capsule Endoscopy, Diffusion, Computer Communication Networks, Anisotropy, Humans, Algorithms, Software

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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