Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Fumihiko, Saitoh"'
Recognition of the Spectacles Area from the Profile ImageBased on Primary Differentiation Processing
Autor:
Yuki Onishi, Fumihiko Saitoh
Publikováno v:
Proceedings of the International Display Workshops. :1064
Extraction of Text Areas in Scene Images by Focusing on Local Contour Density and Corner Pixel Ratio
Autor:
Naoya Taira, Fumihiko Saitoh
Publikováno v:
Proceedings of the International Display Workshops. :1068
Autor:
Shiho Okano, Fumihiko Saitoh
Publikováno v:
Proceedings of the International Display Workshops. :616
Autor:
Keisuke Ohshima, Fumihiko Saitoh
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 137:735-741
Autor:
Yasuyoshi Note, Fumihiko Saitoh
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 136:173-179
Autor:
Soma Nakamura, Fumihiko Saitoh
Publikováno v:
Electronics and Communications in Japan. 99:53-61
The method that binarizes an image by local thresholds in separated image areas is useful when the image has uneven brightness. A method was proposed to separate an image dynamically for local thresholding to generate a binary image by using a geneti
Autor:
Tetsuya Kato, Fumihiko Saitoh
Publikováno v:
Electronics and Communications in Japan. 98:53-62
SUMMARY This paper proposes a method that obtains high-tone images from ultra-low-tone image by using spatial features. Areas are smoothed when the adjacent tone value of the area of interest is continuous, but areas are saved as edges when the adjac
Autor:
Soma Nakamura, Fumihiko Saitoh
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 134:686-693
Autor:
Fumihiko Saitoh, Tetsuya Kato
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 134:441-449
Autor:
Takamitsu Takagi, Fumihiko Saitoh
Publikováno v:
Electronics and Communications in Japan. 96:1-14
Human beings have an ability to perceive continuous curves from a binary image that includes discontinuous curves and noise. To achieve this capability, global detection is required. In the past, we have proposed a perceptive curve detection method w