Title: Image stitching and image reconstruction of intestines captured using radial imaging capsule endoscope
Authors: Mang Ou-Yang
Jeng, Wei-De
Wu, Yin-Yi
Dung, Lan-Rong
Wu, Hsien-Ming
Weng, Ping-Kuo
Huang, Ker-Jer
Chiu, Luan-Jiau
Department of Electrical and Computer Engineering
Keywords: radial imaging capsule endoscope;mean absolute error;mean square error;pearson correlation coefficient;peak signal-to-noise ratio;stitch images;correlation
Issue Date: 1-May-2012
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. (C) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.OE.51.5.057004]
URI: http://dx.doi.org/057004
ISSN: 0091-3286
DOI: 057004
Volume: 51
Issue: 5
End Page: 
Appears in Collections:Articles

Files in This Item:

  1. 000304615300037.pdf