We gave a lecture regarding the principles of endoscopes to students studying medical engineering. The following was the lecture. The light from the light source passed through the rotating RGB filter, and changed to a red, a green, and a blue light, respectively, and these three colored lights illuminated an object. Each light reflected from the object passed through a lens and was received by the CCD. The light signals were changed into electric signals by the CCD, and the memory recorded the red, green, and blue electric signals. The video processor processed these color signals. And, the image of the object was displayed on the monitor. Next, we gave a lecture about RGB colors to the students. The RGB color model was an additive color model of red, green, and blue light. The model could reproduce a broad array of colors using various ways. To allow the students to experience these principles, we gave the students an experimental subject. We prepared a CCD camera, RGB filters, a power supply code, and a video cable. The CCD camera was a Super Color Camera NA-C2660. The RGB filters were the additive types of Dichroic Color Filters that were manufactured by Edmund Optics, Co. These filters were three of colors: red, green, and blue. The video capture board was an Analog Video Capture Board GV-VCP3R/PCI that was manufactured by I-O DATA Device, Inc. Students were divided into 36 groups with 5-6 students in each group. The students combined the three images photographed with the RGB filters, and performed the image processing. The students compared the RGB values of the combined images with the RGB values of the normal image. They brought the RGB value of the combined image as close as possible to the RGB value of the normal image using the Paint Shop Pro 8 software. Next, the differences in the RGB values between the normal image and the modified image were calculated; the maximum of those values was extracted. According to the results, the number of the groups whose difference of the RGB value were greater than 5 and less than or equal to 10 showed the maximum. Moreover, the group which showed the 2nd value was the group whose difference of the RGB value were less than or equal to 5. In the end, the students could experience the principles of endoscopes and image processing.
| Published in | International Journal of Biomedical Science and Engineering (Volume 3, Issue 1) |
| DOI | 10.11648/j.ijbse.20150301.12 |
| Page(s) | 5-10 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Endoscopes, Image Processing, RGB Color Model, Education Method
| [1] | S. K. Johnson, R. K. Naidu, R. C. Ostopowicz et al., "Adolf Kussmaul: Distinguished Clinician and Medical Pioneer", Clinical Medicine & Research Vol.7, No.3, 2009, pp107-112. |
| [2] | P. K. Schafer, T. Sauerbruch, "Rudolf Schindler (1888 - 1968) - Father of Gastroscopy ", Zeitschrift Fur Gastroenterologie 2004, 42(6), pp550-556. |
| [3] | H. W. Rodgers, "Gastroscopy", Post-graduate Medical Journal, September, 1936, pp383-389. |
| [4] | N. Koga, "Business Focus: Medical Business, Earnings and Growth Drivers", OLYMPUS Annual Report 2013, pp34-37. |
| [5] | B. I. Hirschowitz, "A Personal History of the Fiberscope", Gastroenterology 76, 1976, pp864-869. |
| [6] | H. Tajiri, H. Niwa, "Recent Advances in Electronic Endoscopes: Image-enhanced endoscopy", JMAJ 51(3), 2008, pp199–203. |
| [7] | Texas Instruments, "Endoscopes, Quick Reference Guide", Texas Instruments, 2012, pp1-11. |
| [8] | OLYMPUS, "Endoscopic Devices Products Catalog", OLYMPUS AMERICA, 2011, pp1-176. |
| [9] | A. Ernst, F.J.F. Herth, Principles and Practice of Interventional Pulmonology, Springer, 2013, pp15-25: H. W. Dremel, "General Principles of Endoscopic Imaging". |
| [10] | J.J. Koenderink, "Color for the sciences", The MIT Press, 2010, pp561-645. |
| [11] | S. Mangano, "Mathematica Cookbook", O'Reilly Media, 2010, pp275-371. |
| [12] | Jasc Software, "Paint Shop Pro User Guide", Jasc Software, 2003, pp123-206. |
APA Style
Naoto Suzuki. (2015). Teaching College Students Principle of Endoscopes Through an Educational Method of Image Processing. International Journal of Biomedical Science and Engineering, 3(1), 5-10. https://doi.org/10.11648/j.ijbse.20150301.12
ACS Style
Naoto Suzuki. Teaching College Students Principle of Endoscopes Through an Educational Method of Image Processing. Int. J. Biomed. Sci. Eng. 2015, 3(1), 5-10. doi: 10.11648/j.ijbse.20150301.12
AMA Style
Naoto Suzuki. Teaching College Students Principle of Endoscopes Through an Educational Method of Image Processing. Int J Biomed Sci Eng. 2015;3(1):5-10. doi: 10.11648/j.ijbse.20150301.12
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ijbse.20150301.12,
author = {Naoto Suzuki},
title = {Teaching College Students Principle of Endoscopes Through an Educational Method of Image Processing},
journal = {International Journal of Biomedical Science and Engineering},
volume = {3},
number = {1},
pages = {5-10},
doi = {10.11648/j.ijbse.20150301.12},
url = {https://doi.org/10.11648/j.ijbse.20150301.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbse.20150301.12},
abstract = {We gave a lecture regarding the principles of endoscopes to students studying medical engineering. The following was the lecture. The light from the light source passed through the rotating RGB filter, and changed to a red, a green, and a blue light, respectively, and these three colored lights illuminated an object. Each light reflected from the object passed through a lens and was received by the CCD. The light signals were changed into electric signals by the CCD, and the memory recorded the red, green, and blue electric signals. The video processor processed these color signals. And, the image of the object was displayed on the monitor. Next, we gave a lecture about RGB colors to the students. The RGB color model was an additive color model of red, green, and blue light. The model could reproduce a broad array of colors using various ways. To allow the students to experience these principles, we gave the students an experimental subject. We prepared a CCD camera, RGB filters, a power supply code, and a video cable. The CCD camera was a Super Color Camera NA-C2660. The RGB filters were the additive types of Dichroic Color Filters that were manufactured by Edmund Optics, Co. These filters were three of colors: red, green, and blue. The video capture board was an Analog Video Capture Board GV-VCP3R/PCI that was manufactured by I-O DATA Device, Inc. Students were divided into 36 groups with 5-6 students in each group. The students combined the three images photographed with the RGB filters, and performed the image processing. The students compared the RGB values of the combined images with the RGB values of the normal image. They brought the RGB value of the combined image as close as possible to the RGB value of the normal image using the Paint Shop Pro 8 software. Next, the differences in the RGB values between the normal image and the modified image were calculated; the maximum of those values was extracted. According to the results, the number of the groups whose difference of the RGB value were greater than 5 and less than or equal to 10 showed the maximum. Moreover, the group which showed the 2nd value was the group whose difference of the RGB value were less than or equal to 5. In the end, the students could experience the principles of endoscopes and image processing.},
year = {2015}
}
TY - JOUR T1 - Teaching College Students Principle of Endoscopes Through an Educational Method of Image Processing AU - Naoto Suzuki Y1 - 2015/03/24 PY - 2015 N1 - https://doi.org/10.11648/j.ijbse.20150301.12 DO - 10.11648/j.ijbse.20150301.12 T2 - International Journal of Biomedical Science and Engineering JF - International Journal of Biomedical Science and Engineering JO - International Journal of Biomedical Science and Engineering SP - 5 EP - 10 PB - Science Publishing Group SN - 2376-7235 UR - https://doi.org/10.11648/j.ijbse.20150301.12 AB - We gave a lecture regarding the principles of endoscopes to students studying medical engineering. The following was the lecture. The light from the light source passed through the rotating RGB filter, and changed to a red, a green, and a blue light, respectively, and these three colored lights illuminated an object. Each light reflected from the object passed through a lens and was received by the CCD. The light signals were changed into electric signals by the CCD, and the memory recorded the red, green, and blue electric signals. The video processor processed these color signals. And, the image of the object was displayed on the monitor. Next, we gave a lecture about RGB colors to the students. The RGB color model was an additive color model of red, green, and blue light. The model could reproduce a broad array of colors using various ways. To allow the students to experience these principles, we gave the students an experimental subject. We prepared a CCD camera, RGB filters, a power supply code, and a video cable. The CCD camera was a Super Color Camera NA-C2660. The RGB filters were the additive types of Dichroic Color Filters that were manufactured by Edmund Optics, Co. These filters were three of colors: red, green, and blue. The video capture board was an Analog Video Capture Board GV-VCP3R/PCI that was manufactured by I-O DATA Device, Inc. Students were divided into 36 groups with 5-6 students in each group. The students combined the three images photographed with the RGB filters, and performed the image processing. The students compared the RGB values of the combined images with the RGB values of the normal image. They brought the RGB value of the combined image as close as possible to the RGB value of the normal image using the Paint Shop Pro 8 software. Next, the differences in the RGB values between the normal image and the modified image were calculated; the maximum of those values was extracted. According to the results, the number of the groups whose difference of the RGB value were greater than 5 and less than or equal to 10 showed the maximum. Moreover, the group which showed the 2nd value was the group whose difference of the RGB value were less than or equal to 5. In the end, the students could experience the principles of endoscopes and image processing. VL - 3 IS - 1 ER -
Information
Email: