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Your search keyword '"Nam, Jaeyeal"' showing total 18 results
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18 results on '"Nam, Jaeyeal"'

2. X-Ray Image Classification and Retrieval Using Ensemble Combination of Visual Descriptors

Author

Shim, JeongHee, Park, KiHee, Ko, ByoungChul, Nam, JaeYeal, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Wada, Toshikazu, editor, Huang, Fay, editor, and Lin, Stephen, editor

Published
2009
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3. ROI-Based Medical Image Retrieval Using Human-Perception and MPEG-7 Visual Descriptors

Author

Seo, MiSuk, Ko, ByoungChul, Chung, Hong, Nam, JaeYeal, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Sundaram, Hari, editor, Naphade, Milind, editor, Smith, John R., editor, and Rui, Yong, editor

Published
2006
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11. Image resizing using saliency strength map and seam carving for white blood cell analysis

Author

Nam JaeYeal, Kim SeongHoon, and Ko ByoungChul

Subjects
Medical technology, R855-855.5
Abstract

Abstract Background A new image-resizing method using seam carving and a Saliency Strength Map (SSM) is proposed to preserve important contents, such as white blood cells included in blood cell images. Methods To apply seam carving to cell images, a SSM is initially generated using a visual attention model and the structural properties of white blood cells are then used to create an energy map for seam carving. As a result, the energy map maximizes the energies of the white blood cells, while minimizing the energies of the red blood cells and background. Thus, the use of a SSM allows the proposed method to reduce the image size efficiently, while preserving the important white blood cells. Results Experimental results using the PSNR (Peak Signal-to-Noise Ratio) and ROD (Ratio of Distortion) of blood cell images confirm that the proposed method is able to produce better resizing results than conventional methods, as the seam carving is performed based on an SSM and energy map. Conclusions For further improvement, a faster medical image resizing method is currently being investigated to reduce the computation time, while maintaining the same image quality.

Published
2010
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18. Current trend in natural disaster warning systems based on computer vision techniques.

Author

Ko, ByoungChul, Kwak, JoonYoung, June Hyeok Hong, and Nam, JaeYeal

Abstract

In this paper, a review of vision-based natural disaster warning methods is presented. Because natural disaster warning is receiving a lot of attention in recent research, a comprehensive review of various disaster-warning techniques developed in recent years is needed. This paper surveys recent studies on warning systems four different types of natural disaster, i.e., wildfire smoke and flame detection, water level detection for flood prevention, and coastal zone monitoring, using computer vision and pattern-recognition techniques. Finally, we conclude with some thoughts about future research directions. [ABSTRACT FROM PUBLISHER]

Published
2011
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