A fast multi-view based specular removal approach for pill extraction

Chengjie Wang; Sei Ichiro Kamata; Lizhuang Ma

doi:10.1109/ICIP.2013.6738850

A fast multi-view based specular removal approach for pill extraction

Chengjie Wang, Sei Ichiro Kamata, Lizhuang Ma

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

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	https://doi.org/10.1109/ICIP.2013.6738850
Publication status	Published - 2013 Dec 1
Event	2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia Duration: 2013 Sep 15 → 2013 Sep 18

Publication series

Name	2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Conference

Conference	2013 20th IEEE International Conference on Image Processing, ICIP 2013
Country	Australia
City	Melbourne, VIC
Period	13/9/15 → 13/9/18

Keywords

Specular reflection removal
multiple-view
pill extraction
transparent medicine package

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICIP.2013.6738850

Fingerprint Dive into the research topics of 'A fast multi-view based specular removal approach for pill extraction'. Together they form a unique fingerprint.

Cite this

A fast multi-view based specular removal approach for pill extraction. / Wang, Chengjie; Kamata, Sei Ichiro; Ma, Lizhuang.

2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. 2013. p. 4126-4130 6738850 (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, C, Kamata, SI & Ma, L 2013, A fast multi-view based specular removal approach for pill extraction. in 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings., 6738850, 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings, pp. 4126-4130, 2013 20th IEEE International Conference on Image Processing, ICIP 2013, Melbourne, VIC, Australia, 13/9/15. https://doi.org/10.1109/ICIP.2013.6738850

@inproceedings{236d5336a15b4befa41d3430a968f947,

title = "A fast multi-view based specular removal approach for pill extraction",

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.",

keywords = "Specular reflection removal, multiple-view, pill extraction, transparent medicine package",

author = "Chengjie Wang and Kamata, {Sei Ichiro} and Lizhuang Ma",

year = "2013",

month = dec,

day = "1",

doi = "10.1109/ICIP.2013.6738850",

language = "English",

isbn = "9781479923410",

series = "2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings",

pages = "4126--4130",

booktitle = "2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings",

note = "2013 20th IEEE International Conference on Image Processing, ICIP 2013 ; Conference date: 15-09-2013 Through 18-09-2013",

}

TY - GEN

T1 - A fast multi-view based specular removal approach for pill extraction

AU - Wang, Chengjie

AU - Kamata, Sei Ichiro

AU - Ma, Lizhuang

PY - 2013/12/1

Y1 - 2013/12/1

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 - Specular reflection removal

KW - multiple-view

KW - pill extraction

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

T3 - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

SP - 4126

EP - 4130

BT - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

T2 - 2013 20th IEEE International Conference on Image Processing, ICIP 2013

Y2 - 15 September 2013 through 18 September 2013

ER -