Loose gray-scale template matching for image processing of...

Details Loose gray-scale template matching for image processing of... Loose gray-scale template matching for image processing of...

2005-09-13

2005-09-13

Mehta, Bhavesh M. (Department: 2625)

Image analysis

Pattern recognition

Template matching

C382S269000, C382S190000, C382S299000

Reexamination Certificate

active

06944341

ABSTRACT:
An anti-aliased, or gray-edged, image is characterized by comparing the image to a number of loose-templates having a plurality of elements and at least one element having a range greater than zero. As families of loose-templates are compared to the anti-aliased input image, one or more sets of patterns, or features, are recognized and extracted to produce various screens of features that generally describe the anti-aliased input image. An arbitration technique is then performed on the sets of features to produce feature vectors which, in turn, can be used to control line-widths within the anti-aliased input image.

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