Image analysis – Applications – Biomedical applications
Reexamination Certificate
2006-01-19
2011-12-06
Akhavannik, Hadi (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S169000
Reexamination Certificate
active
08073233
ABSTRACT:
An image processor that can suitably specify a predetermined area of a grayscale image is provided. An extreme value coordinate acquiring unit performs scanning on at least one of a plurality of pixels including a target pixel from the target pixel in accordance with gradient information corresponding to a change in a pixel value, and acquires a coordinate of the scanned pixel corresponding to an extreme value of the pixel value as a coordinate of an extreme value pixel corresponding to the target pixel. An area specifying unit labels each target pixel with an area identification mark used for specifying an area to which the each pixel belongs. The area specifying unit103labels each of different pixels corresponding to coordinates of extreme value pixels located close to each other within a particular range with an area identification mark indicating an identity of the area to which the pixels belong. Accordingly, the area to which each pixel belongs is able to be specified based on the area identification mark.
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Vincent, et al., “Watersheds in Digital spaces: An Efficient Algorithm Based on Immersion Simulations”, Transactions on Pattern Analysis and Machine Intelligence (1991), vol. 13, No. 6, pp. 583-598.
Akhavannik Hadi
Olympus Corporation
Scully , Scott, Murphy & Presser, P.C.
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