Image analysis – Image segmentation
Reexamination Certificate
2006-01-17
2006-01-17
Johns, Andrew W. (Department: 2621)
Image analysis
Image segmentation
C382S203000
Reexamination Certificate
active
06987881
ABSTRACT:
An image dividing means2analyzes the texture of input image, and on the basis of result of analysis it fully automatically divides the input image into a plurality of division areas. A density conversion curve generating means3determines a clip value for each division area on the basis of the broadness of dynamic range for determining a density histogram smoothing degree and generates a cumulative density histogram by using the determined clip valve for clipping. A density converting means4executes a density conversion process specific to each pixel in each division area, and outputs the result to an image output side apparatus. Thus, it is possible to permits automatically reducing loss of data outputted from an electronic imaging device to a monitor, a printer, etc.
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Kobayashi, Naoki et al., “Fast Adaptive Contrast Enhancement Method for the Display of Gray-Tone Images”,Faculty of Science and Technology, Keio University, Yokohama-shi, 223, Japan, vol. J77-D-II, No. 3, pps. 502-509 (Mar. 1994).
Nakajima Masato
Takahashi Kosei
Alavi Amir
Johns Andrew W.
Keio University
Olympus Corporation
Pokotylo John C.
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