Image analysis – Image segmentation
Reexamination Certificate
2007-03-13
2007-03-13
Bali, Vikkram (Department: 2624)
Image analysis
Image segmentation
C382S103000
Reexamination Certificate
active
10200018
ABSTRACT:
In automated computation-based interpretation of images, the accuracy and reliability of the detection and delineation of objects, known as “object segmentation,” is implemented so as to provide efficient performance. In a multi-step process, objects are first detected and captured into regions of interest (ROIs). Sets of pixels belonging to respective objects are then identified. Preferably object detection is achieved using both a two-dimensional (2D) low pass filter and a 2D edge enhancement filter. Two different gradient based edge enhancement filters are disclosed. One embodiment of the invention defines a (ROI) by first determining the center of objects by executing a plurality of decimations on the filtered image data, and then establishing object boundaries. In a second embodiment the ROI is defined by generating an amplitude histogram of the filtered image data, and for histograms exceeding a threshold determining by pixel which rows are to be included in the ROI.
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Frost Keith L.
Riley James K.
Amnis Corporation
Anderson Ronald M.
Bali Vikkram
LaRose Colin
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