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Prof. Dong-Joong Kang
at Pusan National Univ
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Publications (5)
Proceedings Article | 4 April 2016 Paper
On the properties of artificial neural network filters for bone-suppressed digital radiography
Proceedings Volume 9783, 97836B (2016) https://doi.org/10.1117/12.2216739
KEYWORDS: Nonlinear filtering, Radiography, Image filtering, Artificial neural networks, Bone, Digital filtering, Dual energy imaging, Image processing, Neurons, Machine learning, Tissues, Network architectures, Electroluminescence
SPIE Journal Paper | 18 June 2013 Open Access
Fire detection system using random forest classification for image sequences of complex background
Onecue Kim, Dong-Joong Kang
OE, Vol. 52, Issue 06, 067202, (June 2013) https://doi.org/10.1117/12.10.1117/1.OE.52.6.067202
KEYWORDS: Flame detectors, RGB color model, Cameras, Classification systems, Image classification, Image processing, Detection and tracking algorithms, Environmental sensing, Optical engineering, Motion models
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SPIE Journal Paper | 18 May 2012
Ellipse detection: a simple and precise method based on randomized Hough transform
Zhu Teng, Jeong-Hyun Kim, Dong-Joong Kang
OE, Vol. 51, Issue 5, 057203, (May 2012) https://doi.org/10.1117/12.10.1117/1.OE.51.5.057203
KEYWORDS: Image processing, Edge detection, Hough transforms, Optical engineering, Detection and tracking algorithms, Sensors, Image segmentation, Electroluminescence, Object recognition, Binary data
SPIE Journal Paper | 10 February 2012
Real-time multiple plane area detection using a self-organizing map
Jeong-Hyun Kim, Zhu Teng, Dong-Joong Kang
OE, Vol. 51, Issue 1, 017207, (February 2012) https://doi.org/10.1117/12.10.1117/1.OE.51.1.017207
KEYWORDS: Stereoscopic cameras, Statistical analysis, Image processing, Optical engineering, Mahalanobis distance, Unmanned vehicles, Hough transforms, 3D image processing, Optical filters, Neural networks
Proceedings Article | 4 February 2011 Paper
Ellipse detection using an improved randomized Hough transformation
Zhu Teng, Jeong-Hyun Kim, Dong-Joong Kang
Proceedings Volume 7870, 78700U (2011) https://doi.org/10.1117/12.872202
KEYWORDS: Image segmentation, Image processing algorithms and systems, Detection and tracking algorithms, Edge detection, Image fusion, Object recognition, Tolerancing, Cadmium sulfide, Analytical research, Mechanical engineering
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