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All Technical Committee Conferences (Searched in: All Years)
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| Search Results: Conference Papers |
| Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-19
14:30 |
Hokkaido |
Hokkaido Univ. |
Wavelet Multi-Resolution Analysis of Color Laparoscopic Image before and after Contrast Enhancement
Norifumi Kawabata (Kanazawa Gakuin Univ.) |
It is important to evaluate image processing and recognition using machine learning, deep learning, and neural network b... [more] |
MMS2024-12 ME2024-28 AIT2024-12
pp.61-66 |
| 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] |
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| BCT, IEICE-SIS |
2021-10-08
10:50 |
Online |
online |
A Study on Contrast Enhancement of Images for SfM
Kazuaki Takahashi, Masaaki Fujiyoshi (Tokyo Metro. Univ.) |
This paper investigates the application of contrast enhancement to photographs for structure from motion (SfM), where Sf... [more] |
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| 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 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
13:30 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Chromatic Aberration Correction of Color Images Using Deep Learning with Each Channel Training Based on Contrast Enhancement
Naoto Nagashima, Mitsuhiko Meguro (Nihon Univ.) |
In this paper, we propose a new correcting method of chromatic aberration occurring in color images using Deep Learning.... [more] |
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