US 10,769,432 B2 · Automated parameterization image pattern recognition method

Abstract

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.

Claims19

Dependent claims

A computerized automated parameterization image pattern detection method, comprising the steps of:

a) inputting learning image and labeled region data into electronic storage means;
b) performing a morphological metrics learning by computing means using the labeled region data to generate at least one morphological metric;
c) performing an intensity metrics learning by computing means using the learning image and the labeled region data to generate at least one intensity metric;
and
d) performing a population learning by computing means using the at least one morphological metric and the at least one intensity metric to generate at least one learned pattern detection parameter.

2 more elements

A computerized automated parameterization image pattern detection method, comprising the steps of:

a) inputting learning image and labeled region data into electronic storage means;
b) performing a pixel parameter learning by computing means using the labeled region data and the learning image to generate pixel classifier;
c) applying a pixel classification by computing means to the learning image using the pixel classifier to generate a pixel class confidence;
and
d) performing a pattern parameter learning by computing means using the labeled region data and the pixel class confidence to generate at least one learned pattern detection parameter.

2 more elements

A computerized automated parameterization image pattern detection and classification method, comprising the steps of:

a) inputting learning image and labeled region data into electronic storage means;
b) performing a pixel parameter learning by computing means using the labeled region data and the learning image to generate pixel classifier;
c) applying a pixel classification by computing means to the learning image using the pixel classifier to generate pixel class confidence;
d) performing a pattern parameter learning by computing means using the labeled region data and the pixel class confidence to generate at least one learned pattern detection parameter output;
e) applying a pattern detection by computing means to the learning image using the at least one learned pattern detection parameter to generate detected pattern;
and
f) performing a pattern classification learning by computing means using the labeled region data, the learning image and the detected pattern to generate pattern classifier.

4 more elements

Dependencies are inferred from the claim text.

Automated parameterization image pattern recognition method

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Automated parameterization image pattern recognition method

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Abstract

Claims19