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. 29, 2022

Filed:

Sep. 07, 2021
Applicant:

Zhejiang University, Hangzhou, CN;

Inventors:

Yong He, Hangzhou, CN;

Hui Fang, Hangzhou, CN;

Xiya Zhang, Hangzhou, CN;

Zeqing Zhang, Hangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06K 9/62 (2022.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06K 9/32 (2006.01); G06T 3/60 (2006.01); G06N 3/08 (2006.01); G06T 7/136 (2017.01);
U.S. Cl.
CPC ...
G06K 9/4604 (2013.01); G06K 9/3233 (2013.01); G06K 9/6217 (2013.01); G06N 3/08 (2013.01); G06T 3/60 (2013.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/136 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A method and a system for identifying a field boundary are provided. The method includes pre-processing acquired original images to obtain an image data set; training an improved U-Net network to obtain a segmentation model of field regions by taking images in the image data set as inputs, and marked images corresponding to the input images as outputs; wherein the marked images are binary images for distinguishing the field regions from non-field regions, an inverted residual block is set between maximum pooling layers of an encoder of the improved U-Net network, and an inverted residual block is set between deconvolutional layers of a decoder of the improved U-Net network; inputting a current frame image into the segmentation model, outputting a current binary image, and determining a field-side boundary line and a field-end boundary line based on a frame association algorithm and an RANSAC line fitting method.


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