Drvision Technologies LLC

Casey James McBride

Shih-Jong James Lee

Michael William Jones

Hoyin Lai

Luciano Andre Guerreiro Lucas

A computerized automated parameterization image pattern detection and classification method performs (1) morphological metrics learning using labeled region data to generate morphological metrics; (2) intensity metrics learning using learning image and labeled region data to generate intensity metrics; and (3) population learning using the morphological metrics and the intensity metrics to generate learned pattern detection parameter. The method may further update the learned pattern detection parameter using additional labeled region data and learning image, and apply pattern detection with optional user parameter adjustment to image data to generate detected pattern. The method may alternatively perform pixel parameter learning and pixel classification to generate pixel class confidence, and uses the pixel class confidence and the labeled region data to perform pattern parameter learning to generate the learned pattern detection parameter. The method may further perform pattern classification learning to generate pattern classifier which is used to generate classified pattern.

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Kirkland, WA, United States of America

Casey James McBride