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. 14, 2023

Filed:

Jun. 02, 2021
Applicant:

Dalian University of Technology, Liaoning, CN;

Inventors:

Xin Yang, Liaoning, CN;

Haiyang Mei, Liaoning, CN;

Wen Dong, Liaoning, CN;

Xiaopeng Wei, Liaoning, CN;

Dengping Fan, Liaoning, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/12 (2017.01); G06T 7/136 (2017.01); G06T 7/73 (2017.01);
U.S. Cl.
CPC ...
G06T 7/12 (2017.01); G06T 7/136 (2017.01); G06T 7/73 (2017.01); G06T 2207/20084 (2013.01); G06T 2207/30181 (2013.01);
Abstract

A method for segmenting a camouflaged object image based on distraction mining is disclosed. PFNet successively includes a multi-layer feature extractor, a positioning module, and a focusing module. The multi-layer feature extractor uses a traditional feature extraction network to obtain different levels of contextual features; the positioning module first uses RGB feature information to initially determine the position of the camouflaged object in the image; the focusing module mines the information and removes the distraction information based on the image RGB feature information and preliminary position information, and finally determines the boundary of the camouflaged object step by step. The method of the present invention introduces the concept of distraction information into the problem of segmentation of the camouflaged object and develops a new information exploration and distraction information removal strategy to help the segmentation of the camouflaged object image.


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