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:
Nov. 04, 2025

Filed:

May. 09, 2023
Applicant:

L&t Technology Services Limited, Chennai, IN;

Inventors:

Taniya Saini, Ahmedabad, IN;

Niranjan Kumar Manjunath, Davangere, IN;

Ashok Ajad, Gorakhpur, IN;

Arbaaz Mohammad Shaikh, Satara, IN;

Nisarga Krishnegowda, Mysore, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/764 (2022.01); G06T 5/30 (2006.01); G06T 5/70 (2024.01); G06T 7/13 (2017.01); G06V 10/56 (2022.01); G06V 10/60 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 10/764 (2022.01); G06T 5/30 (2013.01); G06T 5/70 (2024.01); G06T 7/13 (2017.01); G06V 10/56 (2022.01); G06V 10/60 (2022.01); G06V 10/82 (2022.01); G06T 2207/10024 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A method of image processing and classifying target entities with an image is disclosed that may include applying a contrast amplification procedure to a Lightness parameter associated with an input image, to amplify contrast of the input image and obtain an amplified-contrast image. The method may further include de-noising the amplified-contrast image by iteratively performing on the amplified-contrast image a blur correction, an erosion correction, and a dilation correction, to obtain a de-noised image corresponding to the amplified-contrast image. The method may further include determining edges of each of one or more target entities associated with the input image from the de-noised image and identifying the one or more target entities associated with the input image based on the identified edges, to generate a contoured image. The method may further include classifying the one or more target entities into one or more predefined classes, using a classification model.


Find Patent Forward Citations

Loading…