The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 17, 2020

Filed:

Aug. 11, 2017
Applicant:

Lawrence Livermore National Security, Llc, Livermore, CA (US);

Inventors:

Peer-Timo Bremer, Livermore, CA (US);

Hyojin Kim, Livermore, CA (US);

Jayaraman J. Thiagarajan, Livermore, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06T 7/10 (2017.01); G06T 7/11 (2017.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06K 9/6218 (2013.01); G06K 9/6215 (2013.01); G06K 9/6256 (2013.01); G06T 7/0012 (2013.01); G06T 7/10 (2017.01); G06T 7/11 (2017.01); G06T 2207/30112 (2013.01);
Abstract

A system for identifying in an image an object that is commonly found in a collection of images and for identifying a portion of an image that represents an object based on a consensus analysis of segmentations of the image. The system collects images of containers that contain objects for generating a collection of common objects within the containers. To process the images, the system generates a segmentation of each image. The image analysis system may also generate multiple segmentations for each image by introducing variations in the selection of voxels to be merged into a segment. The system then generates clusters of the segments based on similarity among the segments. Each cluster represents a common object found in the containers. Once the clustering is complete, the system may be used to identify common objects in images of new containers based on similarity between segments of images and the clusters.


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