Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21 12:45 |
Online |
online |
Quality Assessment for 3D CG Image Colorization Using Visible Digital Watermarking after Noise Removal Based on Sparse Dictionary Learning Coding Norifumi Kawabata (Hokkaido Univ.) |
Thus far, we discussed to represent image data whether it is possible or not to represent meaning image how requirement ... [more] |
MMS2022-6 ME2022-31 AIT2022-6 pp.31-36 |
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21 15:50 |
Online |
online |
Statistical Analysis on Estimation of Laparoscopic Image Region of Interest Including Contrast Enhancement Based on Saliency Map Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.) |
In the medical field such as hospital, there are many chance for medical workers to see medical images visually. Therefo... [more] |
|
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 15:40 |
Online |
Online |
Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information Norifumi Kawabata (Tokyo Univ. of Science) |
One of texture component on objects and graphics is luminance. By strength of luminance, human visual perception for cla... [more] |
MMS2021-11 ME2021-11 AIT2021-11 pp.53-58 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 14:50 |
Online |
Online |
Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC Norifumi Kawabata (Tokyo Univ. of Science) |
As one of purpose of study on image segmentation, we are able to consider whether between object and background region c... [more] |
|
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 16:35 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) |
As one of image pre-processing method to detect, recognize, and estimate lesion or characteristic region in medical imag... [more] |
MMS2020-22 HI2020-22 ME2020-50 AIT2020-22 pp.113-118 |
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-19 16:30 |
Hokkaido |
Hokkaido Univ. |
A Fundamental Study on Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions Norifumi Kawabata (Nagoya Univ.), Toshiya Nakaguchi (Chiba Univ.) |
Most of image region segmentation studies can be divided to both subjective method by assessors and objective method by ... [more] |
MMS2019-15 HI2019-15 ME2019-37 AIT2019-15 pp.125-130 |
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-15 15:00 |
Hokkaido |
Hokkaido Univ. |
A Fundamental Study on Medical Image Diagnosis for Automatic Detection of Coded Defect Region Information Norifumi Kawabata, Toshiya Nakaguchi (Chiba Univ.) |
[more] |
|
ME, IEICE-LOIS, IEICE-IE, IEICE-EMM, IEE-CMN |
2015-09-10 16:25 |
Aichi |
Nagoya University, Higashiyama Campus |
3D CG Image Quality Evaluation Including Visible Digital Watermarking Based on Color Information with 8 Viewpoints Parallax Barrier Method Norifumi Kawabata, Masaru Miyao (Nagoya Univ.) |
[more] |
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