Edmatsu, K.,
Nitta, Y.,
Automated capsule inspection method,
PR(14), No. 1-6, 1981, pp. 365-374.
Elsevier DOI
0309
BibRef
Derganc, J.[Joze],
Likar, B.[Bostjan],
Bernard, R.[Rok],
Tomazevic, D.[Dejan],
Pernus, F.[Franjo],
Real-Time automated visual inspection of color tablets in
pharmaceutical blisters,
RealTimeImg(9), No. 2, April 2003, pp. 113-124.
Elsevier DOI
0304
BibRef
Možina, M.[Miha],
Tomaževic, D.[Dejan],
Pernuš, F.[Franjo],
Likar, B.[Boštjan],
Real-time image segmentation for visual inspection of pharmaceutical
tablets,
MVA(22), No. 1, January 2011, pp. 145-156.
WWW Link.
1101
BibRef
Špiclin, Ž.[Žiga],
Bukovec, M.[Marko],
Pernuš, F.[Franjo],
Likar, B.[Boštjan],
Image registration for visual inspection of imprinted pharmaceutical
tablets,
MVA(22), No. 1, January 2011, pp. 197-206.
WWW Link.
1101
BibRef
Mehle, A.[Andraž],
Bukovec, M.[Marko],
Likar, B.[Boštjan],
Tomaževic, D.[Dejan],
Print registration for automated visual inspection of transparent
pharmaceutical capsules,
MVA(27), No. 7, October 2016, pp. 1087-1102.
Springer DOI
1610
BibRef
Možina, M.[Miha],
Tomaževic, D.[Dejan],
Pernuš, F.[Franjo],
Likar, B.[Boštjan],
Automated visual inspection of imprint quality of pharmaceutical
tablets,
MVA(24), No. 1, January 2013, pp. 63-73.
WWW Link.
1301
BibRef
di Palo, J.[John],
Smart Cameras Track and Trace,
VisSys(16), June 2011, pp. 16-18.
HTML Version. Data management system employs smart cameras to validate
pharmaceutical packaging.
BibRef
1106
Sugimoto, K.[Kenjiro],
Inoue, K.[Koji],
Kuroki, Y.[Yoshimitsu],
Kamata, S.I.[Sei-Ichiro],
A Linear Manifold Color Descriptor for Medicine Package Recognition,
IEICE(E95-D), No. 5, May 2012, pp. 1264-1271.
WWW Link.
1202
BibRef
Christilda, S.D.[S. Deena],
Prathiba, M.,
Neelamegam, P.,
Quality Inspection of Parenteral Vials Using Digital Image Analysis,
Sensors(145), No. 10, October 2012, pp. 130-137.
HTML Version.
1211
BibRef
Yu, J.,
Chen, Z.,
Kamata, S.,
Yang, J.,
Accurate system for automatic pill recognition using imprint
information,
IET-IPR(9), No. 12, 2015, pp. 1039-1047.
DOI Link
1512
drugs
BibRef
Han, L.[Lei],
Li, L.[Lu],
Li, W.[Wei],
GPU implementation of RX detection using spectral derivative features,
RealTimeIP(14), No. 3, October 2018, pp. 509-522.
WWW Link.
1811
BibRef
Ou, Y.Y.[Yang-Yen],
Tsai, A.C.[An-Chao],
Zhou, X.P.[Xuan-Ping],
Wang, J.F.[Jhing-Fa],
Automatic drug pills detection based on enhanced feature pyramid
network and convolution neural networks,
IET-CV(14), No. 1, February 2020, pp. 9-17.
DOI Link
2002
BibRef
Dhivya, A.B.,
Sundaresan, M.,
Tablet identification using support vector machine based text
recognition and error correction by enhanced n-grams algorithm,
IET-IPR(14), No. 7, 29 May 2020, pp. 1366-1372.
DOI Link
2005
BibRef
Ling, S.,
Pastor, A.,
Li, J.,
Che, Z.,
Wang, J.,
Kim, J.,
Le Callet, P.,
Few-Shot Pill Recognition,
CVPR20(9786-9795)
IEEE DOI
2008
Image recognition, Text recognition, Image color analysis,
Noise measurement, Lighting, Databases, Imaging
BibRef
Usuyama, N.,
Delgado, N.L.,
Hall, A.K.,
Lundin, J.,
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill
Identification,
VL3W20(3971-3977)
IEEE DOI
2008
Benchmark testing, Task analysis, Measurement, Training,
Biomedical imaging, Image recognition, Image color analysis
BibRef
Liu, Y.H.[Yu-Huan],
Chen, S.Y.[Sheng-Yong],
Tang, T.L.[Ting-Long],
Zhao, M.[Meng],
Defect inspection of medicine vials using LBP features and SVM
classifier,
ICIVC17(41-45)
IEEE DOI
1708
Feature extraction, Inspection, Pharmaceuticals,
Quality assessment, Support vector machines, Training,
Visualization, LBP descriptors, SVM, defect inspection,
feature extraction, medicine vials
BibRef
Podrekar, G.,
Tomaževic, D.,
Likar, B.,
Usenik, P.,
Model based visual inspection of pharmaceutical tablets with
photometric stereo,
MVA17(133-136)
DOI Link
1708
Cameras, Embossing, Image color analysis, Inspection, Lighting,
Training
BibRef
Mehle, A.,
Likar, B.,
Tomaževic, D.,
In-line recognition of agglomerated pharmaceutical pellets with
density-based clustering and convolutional neural network,
MVA17(9-12)
DOI Link
1708
Coatings, Image recognition, Image segmentation, Neural networks,
Pharmaceuticals, Training, Visualization
BibRef
Banerjee, S.,
Sweet, J.,
Sweet, C.,
Lieberman, M.,
Visual recognition of paper analytical device images for detection of
falsified pharmaceuticals,
WACV16(1-9)
IEEE DOI
1606
Biomedical imaging
BibRef
Ushizima, D.[Daniela],
Carneiro, A.[Allan],
Souza, M.[Marcelo],
Medeiros, F.[Fatima],
Investigating Pill Recognition Methods for a New National Library of
Medicine Image Dataset,
ISVC15(II: 410-419).
Springer DOI
1601
BibRef
Podrekar, G.[Gregor],
Bratanic, B.[Blaz],
Likar, B.[Bostjan],
Pernus, F.[Franjo],
Tomazevic, D.[Dejan],
Automated visual inspection of pharmaceutical tablets in heavily
cluttered dynamic environments,
MVA15(206-209)
IEEE DOI
1507
Cameras
BibRef
Caban, J.J.[Jesus J.],
Rosebrock, A.[Adrian],
Yoo, T.S.[Terry S.],
Automatic identification of prescription drugs using shape distribution
models,
ICIP12(1005-1008).
IEEE DOI
1302
BibRef
Islam, M.J.,
Ahmadi, M.,
Sid-Ahmed, M.A.,
Image processing techniques for quality inspection of gelatin capsules
in pharmaceutical applications,
ICARCV08(862-867).
IEEE DOI
1109
BibRef
Ishii, A.[Akira],
Mizuta, T.[Takayuki],
Todo, S.[Shigehiko],
Detection of Foreign Substances Mixed in a Plastic Bottle of
Medicinal Solution Using Real-Time Video Image Processing,
ICPR98(Vol II: 1646-1650).
IEEE DOI
9808
BibRef
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Inspection -- Textiles, Fabrics, Fibers .