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Proceedings Paper

Improvement of light penetration based silkworm gender identification with confined regions of interest
Author(s): Chakkrit Kamtongdee; Sarun Sumriddetchkajorn; Chiranut Sa-ngiamsak
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Paper Abstract

Based on our previous work on light penetration-based silkworm gender identification, we find that unwanted optical noises scattering from the surrounding area near the silkworm pupa and the transparent support are sometimes analyzed and misinterpreted leading to incorrect silkworm gender identification. To alleviate this issue, we place a small rectangular hole on a transparent support so that it not only helps the user precisely place the silkworm pupa but also functions as a region of interest (ROI) for blocking unwanted optical noises and for roughly locating the abdomen region in the image for ease of image processing. Apart from the external ROI, we also assign a smaller ROI inside the image in order to remove strong scattering light from all edges of the external ROI and at the same time speed up our image processing operations. With only the external ROI in function, our experiment shows a measured 86% total accuracy in identifying gender of 120 silkworm pupae with a measured average processing time of 38 ms. Combining the external ROI and the image ROI together revamps the total accuracy in identifying the silkworm gender to 95% with a measured faster 18 ms processing time.

Paper Details

Date Published: 7 June 2013
PDF: 6 pages
Proc. SPIE 8883, ICPS 2013: International Conference on Photonics Solutions, 88830H (7 June 2013); doi: 10.1117/12.2020115
Show Author Affiliations
Chakkrit Kamtongdee, Khon Kaen Univ. (Thailand)
Sarun Sumriddetchkajorn, National Electronics and Computer Technology Ctr. (Thailand)
Chiranut Sa-ngiamsak, Khon Kaen Univ. (Thailand)


Published in SPIE Proceedings Vol. 8883:
ICPS 2013: International Conference on Photonics Solutions
Prathan Buranasiri; Sarun Sumriddetchkajorn, Editor(s)

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