Image analysis – Color image processing – Image segmentation using color
Reexamination Certificate
2006-03-21
2006-03-21
Bali, Vikkram (Department: 2623)
Image analysis
Color image processing
Image segmentation using color
C382S173000
Reexamination Certificate
active
07016531
ABSTRACT:
A method of extracting regions of homogeneous color from a digital picture divides the digital picture into blocks and generates a feature vector for each block as a set of moments of the data for the block. The distance between the feature vector of each block and the feature vectors of the nearest neighboring blocks are determined using either a weighted Euclidean distance metric or a probability mass function-based distance metric. The maximum distance is the gradient value for the block, and the set of gradient values over all the blocks form a color gradient field. The gradient field is digitized and smoothed, and then segmented into regions of similar color characteristics using a watershed algorithm.
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Murching Anil M.
Naveen Thumpudi
Tabatabai Ali
Bali Vikkram
Fogelson Joel M.
Kurdyla Ronald H.
LaRose Colin
Thomson Licensing
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