Browsing by Author "Lai, Chien-Cheng"

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A 3D photographic capsule endoscope system with full field of view
(2013)
Ou-Yang, Mang
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Jeng, Wei-De
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Lai, Chien-Cheng
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Kung, Yi-Chinn
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Tao, Kuan-Heng
Current capsule endoscope uses one camera to capture the surface image in the intestine. It can only observe the abnormal point, but cannot know the exact information of this abnormal point. Using two cameras can generate 3D images, but the visual plane changes while capsule endoscope rotates. It causes that two cameras can't capture the images information completely. To solve this question, this research provides a new kind of capsule endoscope to capture 3D images, which is "A 3D photographic capsule endoscope system ". The system uses three cameras to capture images in real time. The advantage is increasing the viewing range up to 2.99 times respect to the two camera system. The system can accompany 3D monitor provides the exact information of symptom points, helping doctors diagnose the disease.
Color calibration of swine gastrointestinal tract images acquired by radial imaging capsule endoscope
(2016-01-01)
Mang Ou-Yang
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Jeng, Wei-De
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Lai, Chien-Cheng
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Wu, Hsien-Ming
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Lin, Jyh-Hung
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 <1.5. 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. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Improve the image discontinuous problem by using color temperature mapping method
(2011)
Jeng, Wei-De
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Ou-Yang, Mang
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Lai, Chien-Cheng
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Wu, Hsien-Ming
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電控工程研究所
This article mainly focuses on image processing of radial imaging capsule endoscope (RICE). First, it used the radial imaging capsule endoscope (RICE) to take the images, the experimental used a piggy to get the intestines and captured the images, but the images captured by RICE were blurred due to the RICE has aberration problems in the image center and lower light uniformity affect the image quality. To solve the problems, image processing can use to improve it. Therefore, the images captured by different time can use Person correlation coefficient algorithm to connect all the images, and using the color temperature mapping way to improve the discontinuous problem in the connection region.