Color calibration of swine gastrointestinal tract images acquired by radial imaging capsule endoscope
| Autor: | Hsien-Ming Wu, Chien-Cheng Lai, Mang Ou-Yang, Wei-De Jeng, Jyh-Hung Lin |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Swine
Biomedical Engineering Color Capsule Endoscopy 01 natural sciences 010309 optics Biomaterials 03 medical and health sciences 0302 clinical medicine Optics Gamut 0103 physical sciences Image Processing Computer-Assisted Calibration medicine Animals Optical filter Mathematics Color calibration Color difference business.industry Color correction Equipment Design Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Gastrointestinal Tract medicine.anatomical_structure Capsule Endoscopes 030211 gastroenterology & hepatology Color filter array Human eye business |
| Zdroj: | Journal of Biomedical Optics. 21:015010 |
| ISSN: | 1083-3668 |
| DOI: | 10.1117/1.jbo.21.1.015010 |
| Popis: | The type of illumination systems and color filters used typically generate varying levels of color difference in capsule endoscopes, which influence medical diagnoses. In order to calibrate the color difference caused by the optical system, this study applied a radial imaging capsule endoscope (RICE) to photograph standard color charts, which were then employed to calculate the color gamut of RICE. Color gamut was also measured using a spectrometer in order to get a high-precision color information, and the results obtained using both methods were compared. Subsequently, color-correction methods, namely polynomial transform and conformal mapping, were used to improve the color difference. Before color calibration, the color difference value caused by the influences of optical systems in RICE was 21.45±1.09 . Through the proposed polynomial transformation, the color difference could be reduced effectively to 1.53±0.07 . Compared to another proposed conformal mapping, the color difference value was substantially reduced to 1.32±0.11 , and the color difference is imperceptible for human eye because it is . Then, real-time color correction was achieved using this algorithm combined with a field-programmable gate array, and the results of the color correction can be viewed from real-time images. |
| Databáze: | OpenAIRE |
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