Learning pixel visual context from object characteristics to generate rich semantic images

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United States of America Patent

PATENT NO 9740957
APP PUB NO 20160063308A1
SERIAL NO

14473096

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Abstract

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Both object-oriented analysis and the faster pixel-oriented analysis are used to recognize patterns in an image of stained tissue. Object-oriented image analysis is used to segment a small portion of the image into object classes. Then the object class to which each pixel in the remainder of the image most probably belongs is determined using decision trees with pixelwise descriptors. The pixels in the remaining image are assigned object classes without segmenting the remainder of the image into objects. After the small portion is segmented into object classes, characteristics of object classes are determined. The pixelwise descriptors describe which pixels are associated with particular object classes by matching the characteristics of object classes to the comparison between pixels at predetermined offsets. A pixel heat map is generated by giving each pixel the color assigned to the object class that the pixelwise descriptors indicate is most probably associated with that pixel.

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Patent Owner(s)

Patent OwnerAddress
DEFINIENS AGBERNHARD-WICKI-STRASSE 5 MUNICH 80636

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Binnig, Gerd Kottgeisering, DE 41 846
Brieu, Nicolas Munich, DE 14 98
Pauly, Olivier Munich, DE 19 159
Schmidt, Guenter Munich, DE 47 699
Zimmermann, Johannes Hohenschaeftlarn, DE 12 70

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