N
Nagaaki Ohyama
Researcher at Tokyo Institute of Technology
Publications - 258
Citations - 4721
Nagaaki Ohyama is an academic researcher from Tokyo Institute of Technology. The author has contributed to research in topics: Color image & Image processing. The author has an hindex of 32, co-authored 258 publications receiving 4480 citations. Previous affiliations of Nagaaki Ohyama include National Institute of Information and Communications Technology.
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Patent
Optical image reconstructing apparatus capable of reconstructing optical three-dimensional image having excellent resolution and S/N ratio
TL;DR: In this article, an optical image reconstructing apparatus includes a focused surface controller, which moves the position of an object surface focused by the optical image forming system, and a rotation controller that rotates the object or the optical imaging system at a predetermined angular interval around one point on an optical axis of the optical input image.
Proceedings Article
Multispectral color imaging for dermatology: application in inflammatory and immunologic diseases
Masahiro Yamaguchi,Masanori Mitsui,Yuri Murakami,Hiroyuki Fukuda,Nagaaki Ohyama,Yasuo Kubota +5 more
TL;DR: An experimental investigation of the application of multispectral imaging in dermatology demonstrates the effectiveness of using spectral information for the color reproduction and quantitative analysis of skin disorders.
Journal ArticleDOI
Multispectral image enhancement for effective visualization.
Noriaki Hashimoto,Yuri Murakami,Pinky A. Bautista,Masahiro Yamaguchi,Takashi Obi,Nagaaki Ohyama,Kuniaki Uto,Yukio Kosugi +7 more
TL;DR: This paper extended the conventional method for more effective visualization of the spectral features both in visible range and non-visible range and specifies both the spectral band for extracting the spectral feature and the color for visualization respectively.
Journal ArticleDOI
Color reproduction from low-SNR multispectral images using spatio-spectral Wiener estimation.
TL;DR: A spatio-spectral Wiener estimation, which uses spatial correlation as well as spectral correlation to improve color estimation accuracy and suppresses color noise is proposed.
Proceedings ArticleDOI
Extraction of acne lesion in acne patients from multispectral images
Hideaki Fujii,Takashi Yanagisawa,Masanori Mitsui,Yuri Murakami,Masahiro Yamaguchi,Nagaaki Ohyama,Tokiya Abe,Ikumi Yokoi,Yoshie Matsuoka,Yasuo Kubota +9 more
TL;DR: An extraction method using the spectral information of the various type of acne skin lesions calculated from the multispectral images (MSI) of the lesions to classify acne lesion types by applying a combination of several linear discriminant functions (LDF's).