Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy

Joint Authors

Hovde, Øistein
Rukundo, Olivier
Pedersen, Marius

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-10-31

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Medicine

Abstract EN

This paper proposes an advanced method for contrast enhancement of capsule endoscopic images, with the main objective to obtain sufficient information about the vessels and structures in more distant (or darker) parts of capsule endoscopic images.

The proposed method (PM) combines two algorithms for the enhancement of darker and brighter areas of capsule endoscopic images, respectively.

The half-unit weighted-bilinear algorithm (HWB) proposed in our previous work is used to enhance darker areas according to the darker map content of its HSV’s component V.

Enhancement of brighter areas is achieved thanks to the novel threshold weighted-bilinear algorithm (TWB) developed to avoid overexposure and enlargement of specular highlight spots while preserving the hue, in such areas.

The TWB performs enhancement operations following a gradual increment of the brightness of the brighter map content of its HSV’s component V.

In other words, the TWB decreases its averaged weights as the intensity content of the component V increases.

Extensive experimental demonstrations were conducted, and, based on evaluation of the reference and PM enhanced images, a gastroenterologist (Ø.H.) concluded that the PM enhanced images were the best ones based on the information about the vessels, contrast in the images, and the view or visibility of the structures in more distant parts of the capsule endoscopy images.

American Psychological Association (APA)

Rukundo, Olivier& Pedersen, Marius& Hovde, Øistein. 2017. Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1142435

Modern Language Association (MLA)

Rukundo, Olivier…[et al.]. Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1142435

American Medical Association (AMA)

Rukundo, Olivier& Pedersen, Marius& Hovde, Øistein. Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1142435

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1142435