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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CQ, CBE (Joint) |
2024-01-26 13:40 |
Kumamoto | Kurokawa-Onsen (Primary: On-site, Secondary: Online) |
Image analysis technology for estimating the optimum tomato harvest timing and developed AI camera Yasuhiro Okabe, Takefumi Hiraguri, Keita Endo, Naoki Yamada (NIT)  CQ2023-66 |
If it were possible to mechanically estimate when tomatoes should be harvested timing, it would make harvesting easier f... [more] | CQ2023-66 pp.76-81 |
| SIP | 2022-08-25 13:39 |
Okinawa | Nobumoto Ohama Memorial Hall (Ishigaki Island) (Primary: On-site, Secondary: Online) |
A Reversible Image Processing Method for Color Images with Flexible Control of Brightness Yuki Sugimoto, Shoko Imaizumi (Chiba Univ.) SIP2022-53 |
This paper proposes a reversible image processing method for color images to achieve flexible control of brightness. We ... [more] | SIP2022-53 pp.19-24 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 14:40 |
Online | Online | Detection of Physiological Disorders in European Pear Using HSV Color Features Noritaka Kubota, Tatsuya Yamazaki (Niigata Univ.) ITS2021-62 IE2021-71 |
For the "Le Lectier" (pear), appearance quality is important to determine its grade, and grading based on shipping stand... [more] | ITS2021-62 IE2021-71 pp.219-224 |
| EMM, EA, ASJ-H | 2021-11-15 09:00 |
Online | Online | [Poster Presentation]
An Extension of Reversible Image Enhancement Processing for Saturation and Brightness Contrast Yuki Sugimoto, Shoko Imaizumi (Chiba Univ) EA2021-34 EMM2021-61 |
In this paper, we propose a reversible image processing method for color images. The proposed method not only enhances b... [more] | EA2021-34 EMM2021-61 pp.43-48 |
| EMM | 2021-03-05 09:55 |
Online | Online | A Reversible Image Processing Method for Saturation and Contrast Enhancement Yuki Sugimoto, Shoko Imaizumi (Chiba Univ.) EMM2020-76 |
In this paper, we propose an image processing method for color images to enhance both saturation and contrast with rever... [more] | EMM2020-76 pp.52-57 |
| CAS, SIP, MSS, VLD | 2018-06-14 14:50 |
Hokkaido | Hokkaido Univ. (Frontier Research in Applied Sciences Build.) | Image Haze Reduction Method by Ambient Light Estimation Using Region Segmentation Yuji Araki, Koichi Ichige (Yokohama National Univ.) CAS2018-10 VLD2018-13 SIP2018-30 MSS2018-10 |
In this paper, we propose an accurate haze reduction method that divides hazed images into regions in advance, where haz... [more] | CAS2018-10 VLD2018-13 SIP2018-30 MSS2018-10 pp.51-56 |
| MVE, IE, CQ, IMQ (Joint) [detail] |
2017-03-06 10:25 |
Fukuoka | Kyusyu Univ. Ohashi Campus | An improvement in over-exposure detection using HSV color model for Automatic HDR Hallucination Yusuke Sakamoto, Masaru Takeuchi, Jiro Katto (Waseda Univ.) IMQ2016-25 IE2016-140 MVE2016-48 |
In this paper, we propose an improved method for Automatic HDR Hallucination method. There are many LDR images though te... [more] | IMQ2016-25 IE2016-140 MVE2016-48 pp.31-36 |
| MI | 2017-01-18 14:15 |
Okinawa | Tenbusu Naha | MI2016-97 |
Tumors in the thorax and abdomen move during respiration. The respiratory movement has always been a major concern in th... [more] | MI2016-97 pp.97-100 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2015-02-23 15:15 |
Hokkaido | Hokkaido Univ. | Improvement of PNG Image Compression by Optimizing Filter Selection Teppei Takahashi, Akira Kubota (Chuo Univ.) ITS2014-59 IE2014-86 |
In this paper, we propose an optimal filter selection to improve PNG (Portable Network Graphics) compression. This metho... [more] | ITS2014-59 IE2014-86 pp.217-221 |
| IE, ITE-AIT, ITE-ME [detail] | 2013-11-25 14:50 |
Fukuoka | Kurume National College of Technology | Improvement of PNG compression using an optimal filter selection and color space transformation Teppei Takahashi, Akira Kubota (Chuo Univ.) IE2013-63 |
In this paper, we propose an optimal filter selection to improve PNG (Portable Network Graphics) compression. PNG encod... [more] |
IE2013-63 pp.9-12 |
| EMM, EA | 2013-11-14 15:45 |
Hiroshima | Prefectural University of Hiroshima, Satellite Campus Hiroshima | Information Embedment to Character Patterns Using Color Shohei Okugi, Yoshihiro Sugaya, Shinichiro Omachi (Tohoku Univ.) EA2013-73 EMM2013-73 |
With development of cyber physical systems, information hiding technology that goes through the real environment has bee... [more] | EA2013-73 EMM2013-73 pp.31-36 |
| ITE-ME, ITE-AIT, IE [detail] | 2011-11-11 09:25 |
Fukuoka | Based on Control of Level of Detail for Super-Resolution Yusuke Tsutsumi, Gou Fujisawa, Hiromasa Mizuno, Yoshihiro Okada (Ryukoku Univ.) IE2011-78 |
Various methods for digital image enlargement have been proposed and it is possible to get a good result by selecting a ... [more] | IE2011-78 pp.7-12 |
|
| CAS, NLP | 2009-09-25 09:25 |
Hiroshima | Hiroshima Univ. Higashi Senda Campus | Image Segmentation Algorithm with Parameter Self-Adjustment Considering the Image Characteristic Ryosuke Kimura, Tatsuya Sugahara, Tomoya Renge, Tetsushi Koide, Hans Juergen Mattausch (Hiroshima Univ.) CAS2009-37 NLP2009-73 |
In this report, we propose a self adjustment technique of the growth-deciding parameters for a region-growing image-segm... [more] | CAS2009-37 NLP2009-73 pp.77-82 |
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