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:
Jul. 24, 2018

Filed:

Nov. 18, 2016
Applicant:

The Florida State University Research Foundation, Inc., Tallahassee, FL (US);

Inventors:

Josue Anaya, Tallahassee, FL (US);

Adrian Barbu, Tallahassee, FL (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/66 (2006.01); G06T 5/00 (2006.01); G06T 7/00 (2017.01); G06T 3/40 (2006.01);
U.S. Cl.
CPC ...
G06T 5/002 (2013.01); G06T 3/4053 (2013.01); G06T 7/0081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20182 (2013.01);
Abstract

Imaging processing techniques using a trained convolution neural network (CNN) are described. In one or more implementations, an image processing system and method are provided for applying an image processing algorithm to a dataset of training images to generate a plurality of performance curves, constructing a loss function based upon the plurality of performance curves, training a convolutional neural network (CNN) to optimize the loss function to establish a trained convolutional neural network, predicting a specific tuning parameter for an image of interest using the trained convolution neural network and performing image processing of the image of interest using the specific tuning parameter and the image processing algorithm to generate a processed image of interest.


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