Invention Grant
- Patent Title: Systems and methods for automatic generation of training sets for machine interpretation of images
-
Application No.: US15703835Application Date: 2017-09-13
-
Publication No.: US10423820B2Publication Date: 2019-09-24
- Inventor: Alberto Santamaria-Pang , Qing Li , Yunxia Sui , Dmitry Vladimirovich Dylov , Christopher James Sevinsky , Michael E. Marino , Michael J. Gerdes , Daniel Eugene Meyer , Fiona Ginty , Anup Sood
- Applicant: General Electric Company
- Applicant Address: US NY Schenectady
- Assignee: GENERAL ELECTRIC COMPANY
- Current Assignee: GENERAL ELECTRIC COMPANY
- Current Assignee Address: US NY Schenectady
- Agency: Fletcher Yoder, P.C.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/33
Abstract:
The subject matter of the present disclosure generally relates to techniques for image analysis. In certain embodiments, various morphological or intensity-based features as well as different thresholding approaches may be used to segment the subpopulation of interest and classify object in the images.
Public/Granted literature
- US20190080146A1 SYSTEMS AND METHODS FOR AUTOMATIC GENERATION OF TRAINING SETS FOR MACHINE INTERPRETATION OF IMAGES Public/Granted day:2019-03-14
Information query
