Abstract
This paper presents a novel approach to remove the specular reflections on the transparent plastic medicine package and automatically extract the randomly distributed pills inside. In this approach, three cameras are employed to take images of the package from different viewpoints. And these three images are used as input image set while the output is a series of small images of a single pill. And these images can be directly applied to the traditional single pill recognition algorithms. The experimental results show the reliability of our approach by measuring correct detection rate (100%), false detection rate (0%) and pill separation accuracy (98.4%). And the proposed method processes a set of three 725×725 sized images at 0.15s averagely on a Core i5-2400 3.1GHz PC.
| Original language | English |
|---|---|
| Title of host publication | 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings |
| Pages | 4126-4130 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC Duration: 2013 Sep 15 → 2013 Sep 18 |
Other
| Other | 2013 20th IEEE International Conference on Image Processing, ICIP 2013 |
|---|---|
| City | Melbourne, VIC |
| Period | 13/9/15 → 13/9/18 |
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Keywords
- multiple-view
- pill extraction
- Specular reflection removal
- transparent medicine package
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
Cite this
A fast multi-view based specular removal approach for pill extraction. / Wang, Chengjie; Kamata, Seiichiro; Ma, Lizhuang.
2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. 2013. p. 4126-4130 6738850.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A fast multi-view based specular removal approach for pill extraction
AU - Wang, Chengjie
AU - Kamata, Seiichiro
AU - Ma, Lizhuang
PY - 2013
Y1 - 2013
N2 - This paper presents a novel approach to remove the specular reflections on the transparent plastic medicine package and automatically extract the randomly distributed pills inside. In this approach, three cameras are employed to take images of the package from different viewpoints. And these three images are used as input image set while the output is a series of small images of a single pill. And these images can be directly applied to the traditional single pill recognition algorithms. The experimental results show the reliability of our approach by measuring correct detection rate (100%), false detection rate (0%) and pill separation accuracy (98.4%). And the proposed method processes a set of three 725×725 sized images at 0.15s averagely on a Core i5-2400 3.1GHz PC.
AB - This paper presents a novel approach to remove the specular reflections on the transparent plastic medicine package and automatically extract the randomly distributed pills inside. In this approach, three cameras are employed to take images of the package from different viewpoints. And these three images are used as input image set while the output is a series of small images of a single pill. And these images can be directly applied to the traditional single pill recognition algorithms. The experimental results show the reliability of our approach by measuring correct detection rate (100%), false detection rate (0%) and pill separation accuracy (98.4%). And the proposed method processes a set of three 725×725 sized images at 0.15s averagely on a Core i5-2400 3.1GHz PC.
KW - multiple-view
KW - pill extraction
KW - Specular reflection removal
KW - transparent medicine package
UR - http://www.scopus.com/inward/record.url?scp=84897764176&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897764176&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2013.6738850
DO - 10.1109/ICIP.2013.6738850
M3 - Conference contribution
AN - SCOPUS:84897764176
SN - 9781479923410
SP - 4126
EP - 4130
BT - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
ER -