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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, BioX 2016-03-25
10:15		 Tokyo   Vessel tracking from 3D CT images based on 2D cross-section analysis
Akira Uchida, Toshiyuki Okada, Hotaka Takizawa, Hiroyuki Kudo, Yukio Oshiro, Nobuhiro Okochi (Univ. of Tsukuba) BioX2015-59 PRMU2015-182		 This paper proposes a segmentation method of complex vascular structures based on three-dimensional vessel tracking and ... [more] BioX2015-59 PRMU2015-182
pp.99-104
HCGSYMPO
(2nd)		 2013-12-18
- 2013-12-20		 Ehime Matsuyama Multi-Purpose Community Cente Identification method of author of illustration image with using the face of the character
Akira Fujisawa, Kazuyuki Matsumoto, Minoru Yoshida, Kenji Kita (Univ of Tokushima) 		Recently, people can draw a lot of pictures by using digital devices because of the expansion of a computer. Meanwhile, ... [more]
CAS, CS, SIP 2012-03-08
15:35		 Niigata The University of Niigata Optimal Estimation of Step Line-Edge Based on E-spline Pixel Acqusition Model
Akira Hirabayashi, Naoya Kunisada (Yamaguchi Univ.), Pier Luigi Dragotti (Imperial College London) CAS2011-118 SIP2011-138 CS2011-110		 We propose a line edge extraction algorithm based on an E-spline pixel acquisition model.
A straight line-edge can be d... [more]		 CAS2011-118 SIP2011-138 CS2011-110
pp.65-70
SP, EA, SIP 2010-05-27
13:25		 Hyogo Konan Univ. (Hirao Seminar House) Precise Line-Edge Extraction from Low-Resolution Images by E-Spline Sampling
Akira Hirabayashi (Yamaguchi Univ.), Pier-Luigi Dragotti (Imperial Coll. London) EA2010-17 SIP2010-17 SP2010-17		 The standard approach for line-edge extraction from image is Hough transform, which has many difficulties including limi... [more] EA2010-17 SIP2010-17 SP2010-17
pp.97-102
PRMU, NLC, TL 2006-10-20
14:00		 Tokyo   Preventing Under- and Oversegmentation by Validation of Image Segments in Scale Space
Takuto Komazaki, Tomoya Sakai, Atsushi Imiya (Chiba Univ.) 		This paper proposes a validation scheme for segmentation of a greyscale image. Image segmentation by edge detection is ... [more] PRMU2006-111
pp.41-46
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