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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 63  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2024-03-04
13:28
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Experimental validation of relationship between training data amount and accuracy of automatic annotation in developing image diagnosis AI
Koki Muranaka, Mitsutaka Nemoto, Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami, Yukako Nakamae (Kindai Univ.), Takeharu Yoshikawa (Tokyo Univ.) MI2023-77
To reduce the development cost of image diagnosis AI systems, we have studied and proposed an automatic process for crea... [more] MI2023-77
pp.149-151
ITS, WBS, RCC 2023-12-22
10:55
Okinawa
(Primary: On-site, Secondary: Online)
Appropriate Exposure Settings for extraction of Flashing Signal Transmitter Region for Development of Visible Light V2V Communication and Ranging System
Surena Kawahara (KGU), Takahashi Daisuke (bunka), Hirano Teruaki, Mizui Kiyoshi (KGU) WBS2023-53 ITS2023-36 RCC2023-47
In this study, the method of extracting the position of the LED light source that is the transmitter from the in-vehicle... [more] WBS2023-53 ITS2023-36 RCC2023-47
pp.128-133
ITS 2023-07-14
13:15
Gunma Gunma Univ. (Aramaki)
(Primary: On-site, Secondary: Online)
Image Processing Methods to Improve the Extraction Accuracy of LED Signal Transmitter Region for Development of Visible Light V2V Communication and Ranging System
Surena Kawahara, Kiyoshi Mizui (KGU) ITS2023-2
In this research, the method of extracting the position of the transmitting light source in the image is studied in orde... [more] ITS2023-2
pp.7-11
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
14:25
Hokkaido Hokkaido Univ. Region Extraction Method Using Blinking LED Signal Sources for Development of Visible Light V2V Communication and Ranging System
Surena Kawahara (KGU), Daisuke Takahashi (bunka), Teruaki Hirano, Kiyoshi Mizui (KGU) ITS2022-72 IE2022-89
This study is to develop an integrated Vehicle-to Vehicle (V2V) Communication and Ranging System using spread spectrum (... [more] ITS2022-72 IE2022-89
pp.169-172
RCC, ITS, WBS 2022-12-14
16:00
Shiga Ritsumeikan Univ. BKC
(Primary: On-site, Secondary: Online)
Blinking Region Extraction Method Using Image Processing for Visible Light V2V Communication and Ranging System Using Spread Spectrum Technique
Surena Kawahara (KGU), Takahashi Daisuke (bunka), Hirano Teruaki, Mizui Kiyoshi (KGU) WBS2022-63 ITS2022-39 RCC2022-63
The Vehicle-to-Vehicle Communication and Ranging System using spread spectrum (SS), which enables simultaneous communica... [more] WBS2022-63 ITS2022-39 RCC2022-63
pp.156-160
MI 2021-08-27
15:00
Online Online [Short Paper] Region extraction and mass estimation of kidneys from Ai-CT
Yasushi Hirano, Remi Yamashita (Yamaguchi Univ.), Shoji Kido (Osaka Univ.), Kunihiro Inai (Univ. of Fukui) MI2021-24
Autopsy imaging (Ai) is an examination method for investigating the cause of death and estimating the postmortem time. S... [more] MI2021-24
pp.10-11
PRMU 2020-12-18
17:00
Online Online An evaluation method of area detection AI based on contribution pattern variation with noise addition
Yasuhide Mori, Naofumi Hama, Masashi Egi (Hitachi) PRMU2020-67
The processing of image recognition AI using machine learning is generally black-boxed, and grasping the operating chara... [more] PRMU2020-67
pp.166-171
MI 2020-01-30
13:25
Okinawa OKINAWAKEN SEINENKAIKAN 2D Deep CNN for automated multi organ segmentation from CT images by using consecutive slices feature maps
Hiroki Isakari, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2019-113
The development of a computer-aided diagnosis system is expected to reduce the burden on the radiologist in clinical pra... [more] MI2019-113
pp.203-205
SeMI, RCS, NS, SR, RCC
(Joint)
2019-07-10
14:15
Osaka I-Site Nanba(Osaka) [Encouragement Talk] Soft Video Uploading for Low-Power Crowdsourced Multi-view Video Streaming
Than Than Nu, Takuya Fujihashi, Takashi Watanabe (Osaka Univ.) SeMI2019-22
The human visual system (HVS) has more sensitive spatial resolution to the currently gazing region-of-interest (ROI) of ... [more] SeMI2019-22
pp.23-27
MI 2019-07-06
11:55
Hokkaido Future Univ. Hakodate [Poster Presentation] Basic study of left atrial appendage segmentation from cardiac CT images
Itaru Takayashiki, Doi Akio, Toru Kato, Hiroki Takahashi (Iwate Prefectural Univ.), Shoto Sekimura (ISP), Maiko Hozawa, Yoshihiro Morino (Iwate Medical Univ.) MI2019-30
In this study, we propose a method to automatically extract the left atrial appendage region from the cardiac CT image f... [more] MI2019-30
pp.43-48
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-14
10:20
Kagoshima Kagoshima University Study on Head Region Extraction Methods for Human Images
Shu Iwata, Tatsuya Yamazaki (Niigata Univ.) IMQ2018-28 IE2018-112 MVE2018-59
One of our research objects is to develop an application that provides questions using human head images and to provide ... [more] IMQ2018-28 IE2018-112 MVE2018-59
pp.31-35
SIS, ITE-BCT 2018-10-26
11:10
Kyoto Kyoto University Clock Tower Centennial Hall Improvement of Calcification regions detection in Dental Panoramic Radiographs Considering Precise Shape Restoration
Takeshi Nasu, Mitsuji Muneyasu, Akira Asano (Kansai Univ.), Keiichi Uchida, Yasuaki Ishioka, Nobuo Yoshinari, Akira Taguchi (Matsumoto Dental Univ.) SIS2018-19
It has been proposed to use a dental panoramic radiograph captured in a dental clinic to judge a presence of calcificati... [more] SIS2018-19
pp.89-94
ASN, NS, RCS, SR, RCC
(Joint)
2018-07-11
13:35
Hokkaido Hakodate Arena A Fundamental Approach for Efficient Crowdsourced Multi-view Video Uploading
Than Than Nu (Osaka Univ), Takuya Fujihashi (Ehime Univ.), Takashi Watanabe (Osaka Univ.) ASN2018-23
The human visual system (HVS) has more sensitive
spatial resolution to the currently gazing region-of-interest (ROI)
o... [more]
ASN2018-23
pp.43-46
PRMU, MVE, IPSJ-CVIM [detail] 2018-01-19
17:24
Osaka   [Poster Presentation] A Proposal of Flower Region Estimation Method on Mobile Terminal Using CNN for AR Type Application Experience
Seiichiro Nomura, Takahiro Sugiyama (Shizuoka Univ.) PRMU2017-144 MVE2017-65
In this paper, in order to develop the AR viewing support application of the flower park of Hamamatsu City, we propose a... [more] PRMU2017-144 MVE2017-65
pp.347-350
PRMU 2017-12-17
17:00
Kanagawa   A Background Subtraction Method with an Image Set as a Background Model
Yuya Kasahara, Toru Abe, Takuo Suganuma (Tohoku Univ.) PRMU2017-111
Background subtraction method is one of the approaches for extractingthe regions of moving objects such as people and ve... [more] PRMU2017-111
pp.65-70
PRMU, IE, MI, SIP 2017-05-25
14:40
Aichi   An Extraction Method of Coronary Artery and Left Ventricle from Heart CT Images based on Hough Transformation and Region Growing
Shoto Sekimura, Akio Doi, Toru Kato (Iwate Pref. Univ.), Maiko Hozawa, Yoshihiro Morino (Iwate Medical Univ.) SIP2017-6 IE2017-6 PRMU2017-6 MI2017-6
In this paper, we propose a method to automatically extract the ascending aorta, the coronary artery and the left ventri... [more] SIP2017-6 IE2017-6 PRMU2017-6 MI2017-6
pp.31-36
HCGSYMPO
(2nd)
2016-12-07
- 2016-12-09
Kochi Kochi City Culture Plaza (CUL-PORT) Extraction of object region using a depth image
Shouhei Takemoto, Yoshinori Arai (Tokyo Polytechnic Univ.)
In this paper, a method of extracting the object region using the distance information is proposed. Pixels that differen... [more]
ITS, IE, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2016-02-22
16:30
Hokkaido Hokkaido Univ. A Novel Characteristic Feature Based on Shape Briefness for Text Region Detectioin from Natural Scenes
Masataka Sato, Terumasa Aoki, zhan ge (Tohoku Univ.) ITS2015-73 IE2015-115
In recent years, character recognition technologies in natural scenes are widely studied. Character detection from natur... [more] ITS2015-73 IE2015-115
pp.119-124
SIS 2015-12-03
16:00
Fukui Matsuya-sensen (Awara city, Fukui) Analysis Aiding System for Cell Image Sequences
Kohei Watarai, Yutaka Nakano, Toshiyuki Yoshida (Fukui Univ) SIS2015-36
In some biological areas, an analysis aiding system is required that realizes an automatic cell-region segmentation and ... [more] SIS2015-36
pp.41-45
IE, ITE-ME, ITE-AIT [detail] 2015-11-12
15:50
Kumamoto   A Novel Rectification Method for Character Regions Extracted from Natural Images
Masataka Sato, Terumasa Aoki (Tohoku Univ.) IE2015-77
In recent years , character recognition technologies in natural scenes are widely studied. However, most of existing OCR... [more] IE2015-77
pp.23-28
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