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Optical Engineering

Image stitching and image reconstruction of intestines captured using radial imaging capsule endoscope
Author(s): Ou-Yang Mang; Lan-Rong Dung; Wei-De Jeng; Ying-Yi Wu; Hsien-Ming Wu; Ping-Kuo Weng; Ker-Jer Huang; Luan-Jiau Chiu
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Paper Abstract

This study investigates image processing using the radial imaging capsule endoscope (RICE) system. First, an experimental environment is established in which a simulated object has a shape that is similar to a cylinder, such that a triaxial platform can be used to push the RICE into the sample and capture radial images. Then four algorithms (mean absolute error, mean square error, Pearson correlation coefficient, and deformation processing) are used to stitch the images together. The Pearson correlation coefficient method is the most effective algorithm because it yields the highest peak signal-to-noise ratio, higher than 80.69 compared to the original image. Furthermore, a living animal experiment is carried out. Finally, the Pearson correlation coefficient method and vector deformation processing are used to stitch the images that were captured in the living animal experiment. This method is very attractive because unlike the other methods, in which two lenses are required to reconstruct the geometrical image, RICE uses only one lens and one mirror.

Paper Details

Date Published: 4 May 2012
PDF: 10 pages
Opt. Eng. 51(5) 057004 doi: 10.1117/1.OE.51.5.057004
Published in: Optical Engineering Volume 51, Issue 5
Show Author Affiliations
Ou-Yang Mang, National Chiao Tung Univ. (Taiwan)
Lan-Rong Dung, National Chiao Tung Univ. (Taiwan)
Wei-De Jeng, National Chiao Tung Univ. (Taiwan)
Ying-Yi Wu, National Chiao Tung Univ. (Taiwan)
Hsien-Ming Wu, Chung-Shan Institute of Science and Technology (Taiwan)
Ping-Kuo Weng, Chung-Shan Institute of Science and Technology (Taiwan)
Ker-Jer Huang, Chung-Shan Institute of Science and Technology (Taiwan)
Luan-Jiau Chiu, Chung-Shan Institute of Science and Technology (Taiwan)

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