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Mitsuhiko Meguro
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2020 – today
- 2022
- [c10]Mamoru Kawai, Mitsuhiko Meguro, Masakazu Furuichi:
Color Inspection Tables for Estimating Degree of Color-Defective Vision. LifeTech 2022: 382-383
2000 – 2009
- 2006
- [c9]Mitsuhiko Meguro, Chihiro Takahashi, Toshio Koga:
Simple color conversion method to perceptible images for color vision deficiencies. Human Vision and Electronic Imaging 2006: 60571A - 2003
- [c8]Mitsuhiko Meguro, Masahide Kaneko, Akira Kurematsu:
New design method of general weighted median filters admitting negative weights for enhancement of images degraded by additive noise. Image Processing: Algorithms and Systems 2003: 383-391 - 2002
- [c7]Quan Huynh-Thu, Mitsuhiko Meguro, Masahide Kaneko:
Skin-Color-Based Image Segmentation and Its Application in Face Detection. MVA 2002: 48-51 - [c6]Quan Huynh-Thu, Mitsuhiko Meguro, Masahide Kaneko:
Skin-Color Extraction in Images with Complex Background and Varying Illumination. WACV 2002: 280-
1990 – 1999
- 1999
- [c5]Mitsuhiko Meguro, Akira Taguchi, Nozomu Hamada:
Data-dependent weighted median filtering with motion information for image sequence restoration. Electronic Imaging: Nonlinear Image Processing 1999 - [c4]Mitsuhiko Meguro, Akira Taguchi, Nozomu Hamada:
Data-Dependent Weighted Median Filtering with Robust Motion Information for Image Sequences Restoration. ICIP (2) 1999: 424-428 - [c3]Mitsuhiko Meguro, Akira Taguchi, Nozomu Hamada:
Data-dependent weighted average filtering for image sequence enhancement. NSIP 1999: 821-825 - 1997
- [c2]Mitsuhiko Meguro, Akira Taguchi:
The learning type of mean and median hybrid filters. ICASSP 1997: 2589-2592 - 1995
- [c1]Akira Taguchi, Mitsuhiko Meguro:
Adaptive L-Filters Based on Fuzzy Rules. ISCAS 1995: 961-964
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