Image stitching and image reconstruction of intestines captured using radial imaging capsule endoscope

Yang-Mang Ou, Wei De Jeng, Yin Yi Wu, Lan-Rong Dung, Hsien Ming Wu, Ping Kuo Weng, Ker Jer Huang, Luan Jiau Chiu

研究成果: Article同行評審

9 引文 斯高帕斯(Scopus)

摘要

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.

原文English
文章編號057004
期刊Optical Engineering
51
發行號5
DOIs
出版狀態Published - 5月 2012

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