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:
Aug. 25, 2020

Filed:

Aug. 28, 2019
Applicant:

The Climate Corporation, San Francisco, CA (US);

Inventors:

Yaqi Chen, Chesterfield, MO (US);

Wei Guan, Pleasanton, CA (US);

Assignee:

THE CLIMATE CORPORATION, San Francisco, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/32 (2006.01); C12N 15/82 (2006.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01); G06K 9/00 (2006.01); A01H 1/04 (2006.01); G06K 9/68 (2006.01); G06K 9/34 (2006.01);
U.S. Cl.
CPC ...
G06K 9/3241 (2013.01); A01H 1/04 (2013.01); C12N 15/8281 (2013.01); G06K 9/00664 (2013.01); G06K 9/4642 (2013.01); G06K 9/6271 (2013.01); G06K 9/34 (2013.01); G06K 9/4652 (2013.01); G06K 9/68 (2013.01);
Abstract

In an embodiment, a computer-implemented method of detecting infected objects from large field-of-view images is disclosed. The method comprises receiving, by a processor, a digital image capturing multiple objects; generating, by the processor, a plurality of scaled images from the digital image respectfully corresponding to a plurality of scales; and computing a group of feature matrices for the digital image. The method further comprises, for each of the plurality of scaled images. selecting a list of candidate regions from the scaled image each likely to capture a single object; and for each of the list of candidate regions, performing the following steps: mapping the candidate region back to the digital image to obtain a mapped region; identifying a corresponding portion from each of the group of feature matrices based on the mapping; and determining whether the candidate region is likely to capture the single object infected with a disease based on the group of corresponding portions. In addition, the method comprises choosing a group of final regions from the lists of mapped regions based on the determining; and causing display of information regarding the group of final regions.


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