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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-21 13:15 |
Hokkaido | Hokkaido Univ. |  ITS2016-53 IE2016-111 |
(To be available after the conference date) [more] | ITS2016-53 IE2016-111 pp.253-255 |
| NLP, CAS | 2014-10-16 13:20 |
Ehime | Ehime University | Dynamic Image Segmentation using Oscillatory Responses Observed in a Coupled System of One-dimensional Discrete-time Oscillators Mio Kobayashi (Anan, NCT), Tetsuya Yoshinaga (Tokushima Univ.) CAS2014-59 NLP2014-53 |
We propose a novel discrete-time coupled system generating oscillatory responses by periodic points with high order of p... [more] | CAS2014-59 NLP2014-53 pp.43-48 |
| MI | 2013-09-13 14:15 |
Chiba | [Special Talk]
Highly Accurate and Less-Invasive Diagnosis and Treatment for Diseases in Thoracoabdominal Organs Hideaki Haneishi, Tadashi Yamaguchi, Ryoichi Nakamura, Mikio Suga, Toshiya Nakaguchi, Hiroshi Kawahira, Takashi Ohnishi (Chiba Univ.) MI2013-43 |
In hepato-biliary-pancreatic region, it is required to find a solid cancer formed in those organs and treat it less-inva... [more] | MI2013-43 pp.31-34 |
|
| PRMU | 2013-02-22 14:30 |
Osaka | Sequence Number-free Detection of Similar Sequences Among Multiple Sequences
-- Proposal of Circle Continuous Dynamic Programming -- Ryuichi Oka (Aizu Univ.) PRMU2012-172 |
We propose a method called Circle Continuous Dynamic Programming (CCDP) for sequence number-free detection of similar se... [more] | PRMU2012-172 pp.197-202 |
|
| MVE, HI-SIG-VR | 2012-09-28 10:15 |
Hokkaido | Two venues in Nemuro | Displaying Spherical Aerial HDR Images for Telepresence System Fumio Okura, Masayuki Kanbara, Naokazu Yokoya (NAIST) MVE2012-42 |
To display spherical high dynamic range (HDR) images in offline telepresence systems that provide users with sense of lo... [more] | MVE2012-42 pp.85-89 |
| PRMU, MVE, CQ, IPSJ-CVIM [detail] | 2012-01-19 18:15 |
Osaka | Tone-Mapping for HDR Images Divided with Dimidiate Luminance and Spatial Distributions of Bright and Dark Regions Masaki Kitaura, Fumio Okura, Masayuki Kanbara, Naokazu Yokoya (NAIST) PRMU2011-165 MVE2011-74 |
This report proposes a novel tone mapping method focusing on an HDR image with dimidiated luminance and spatial distribu... [more] | PRMU2011-165 MVE2011-74 pp.185-190 |
|
| IMQ | 2011-11-25 14:45 |
Toyama | University of Toyama | Tone compression of WDR image by segmentation based on local luminance distribution and region-based contrast adjustment Takahiro Kojima, Shuichi Fujisaki (TUS), Amal Punchihewa (Massey Univ.), Takayuki Hamamoto (TUS) IMQ2011-17 |
For display purpose, the tone of wide dynamic range (WDR) image should be compressed properly. In this paper, we propose... [more] | IMQ2011-17 pp.11-14 |
| NLP | 2011-05-27 13:15 |
Kagawa | Olive park olive memorial hall | Analysis of synchronization in a discrete-time coupled neuronal system Mio Kobayashi (Anan Natl. Col. Tech.), Ken'ichi Fujimoto, Tetsuya Yoshinaga (Tokushima Univ.) NLP2011-17 |
We have developed a discrete-time neuronal network for dynamic image segmentation that is based on the synchronization o... [more] | NLP2011-17 pp.79-84 |
| IBISML, PRMU, IPSJ-CVIM [detail] | 2010-09-06 16:30 |
Fukuoka | Fukuoka Univ. | General Scheme of Continuous Dynamic Programming
-- Optimal Full Pixel Matching for Spotting Image -- Ryuichi Oka, Yuichi Yaguchi, Shinya Nizoe (Aizu Univ) PRMU2010-87 IBISML2010-59 |
Two-dimensional Continuous Dynamic Programming (2DCDP) for optimal full pixel matching is discussed. There is a family o... [more] | PRMU2010-87 IBISML2010-59 pp.245-252 |
| NLP, CAS | 2010-08-03 10:30 |
Tokushima | Naruto University of Education | Bifurcation of oscillatory responses observed in a three-coupled system of discrete-time neurons Masayoshi Fujiwara, Mio Musashi, Ken'ichi Fujimoto, Tetsuya Yoshinaga (Tokushima Univ.) CAS2010-56 NLP2010-72 |
We have developed a discrete-time chaotic neuronal network for dynamic image segmentation, whose operation is based on p... [more] | CAS2010-56 NLP2010-72 pp.123-128 |
| ITE-AIT, IE, ITE-HI, ITE-ME, ITS | 2010-02-16 10:25 |
Hokkaido | Graduate School of Information and Technology, Hokkaido Univ. | Anisotropic Diffusion Algorithm for Segmentation of Noisy Color Images Takehiro Harada, Junji Maeda (Muroran Inst. of Tech.) ITS2009-73 IE2009-167 |
The purpose of this research is to develop the anisotropic diffusion algorithm with the dynamic morphological filter as ... [more] | ITS2009-73 IE2009-167 pp.203-208 |
| NLP | 2009-08-04 10:20 |
Kochi | Multi-Scaling of Gray Level Image and its Dynamic Image Segmentation Using Discrete-time Dynamical Systems Ken'ichi Fujimoto, Mio Musashi, Tetsuya Yoshinaga (Univ. of Tokushima.) NLP2009-53 |
The authors have proposed a discrete-time coupled system consisting of chaotic neurons and a global inhibitor. We demons... [more] | NLP2009-53 pp.49-52 |
|
| NLP | 2009-08-04 13:00 |
Kochi | Bifurcation and Basin of Oscillatory Responses Observed in a Discrete-Time Chaotic Neural Network Mio Musashi, Ken'ichi Fujimoto, Tetsuya Yoshinaga (Univ. of Tokushima.) NLP2009-56 |
We have proposed a discrete-time dynamical system consisting of a global inhibitor and chaotic neurons that can generate... [more] | NLP2009-56 pp.65-70 |
|
| NC | 2007-01-26 13:50 |
Hokkaido | Noboribetsu Manseikaku(Noboribetsu) | Segmentation of Color Images Using Anisotropic Diffusion with Dynamic Morphology Hiroto Yokogishizawa, Junji Maeda (Muroran IT) |
In this paper, we propose the extension of the anisotropic diffusion algorithm with dynamic morphological filter to colo... [more] | NC2006-109 pp.53-58 |
| MI | 2005-01-22 10:30 |
Okinawa | Univ. of the Ryukus | A method for extracting liver regions by estimating CT value distributions from early and late arterial phase CT images Yuichiro Hayashi, Daisuke Deguchi, Hisanori Matsuoka, Takayuki Kitasaka, Kensaku Mori (Nagoya Univ.), Yoshito Mekada (Chukyo Univ.), Yasuhito Suenaga (Nagoya Univ.), Junichi Hasegawa, Junichiro Toriwaki (Chukyo Univ.) |
This paper describes a method for extracting liver regions by estimating CT value distributions from early and late arte... [more] | MI2004-84 pp.19-24 |
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