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. 25, 2025

Filed:

Jan. 23, 2022
Applicant:

Hon Hai Precision Industry Co., Ltd., New Taipei, TW;

Inventors:

I-Hua Chen, New Taipei, TW;

Chin-Pin Kuo, New Taipei, TW;

Wei-Chun Wang, New Taipei, TW;

Tzu-Chen Lin, New Taipei, TW;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/764 (2022.01); G06T 7/11 (2017.01); G06T 7/41 (2017.01); G06V 10/44 (2022.01); G06V 10/54 (2022.01); G06V 10/774 (2022.01);
U.S. Cl.
CPC ...
G06V 10/764 (2022.01); G06T 7/11 (2017.01); G06T 7/41 (2017.01); G06V 10/449 (2022.01); G06V 10/54 (2022.01); G06V 10/774 (2022.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01);
Abstract

A method for recognizing different object-categories within images based on texture classification of the different categories, which is implemented in an electronic device, includes extracting texture features from block images segmented from original images according to at least one Gabor filter; determining a grayscale level co-occurrence matrix of each block image according to the texture features; calculating texture feature statistics of each block image according to the grayscale level co-occurrence matrix; training and generating an object recognition model using the texture features and the texture feature statistics; and recognizing and classifying at least one object in original image according to the object recognition model.


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