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:
Jan. 14, 2025

Filed:

Feb. 08, 2023
Applicant:

Guangdong Ocean University, Zhanjiang, CN;

Inventors:

Xiaohong Peng, Zhanjiang, CN;

Zixiang Liang, Zhongshan, CN;

Sidong Li, Zhanjiang, CN;

Liang Chen, Zhanjiang, CN;

Jun Zhang, Lanzhou, CN;

Yifan Li, Anyang, CN;

Xiaopeng Zhao, Zhanjiang, CN;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/80 (2022.01); G06V 10/36 (2022.01); G06V 10/774 (2022.01); G06V 20/05 (2022.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06V 20/05 (2022.01); G06V 10/36 (2022.01); G06V 10/774 (2022.01); G06V 10/80 (2022.01); G06V 40/10 (2022.01);
Abstract

A training method of underwater sea urchin image recognition model, and underwater sea urchin image recognition method and device are provided. The training method includes: constructing an underwater sea urchin image recognition model, acquiring an underwater sea urchin image dataset; performing MSRCR on the underwater sea urchin image dataset; processing the underwater sea urchin image dataset by a dark channel prior method; performing image fusion to obtain a fused image dataset; sharpening the fused image dataset to obtain a training image dataset; and training the underwater sea urchin image recognition model by using the training image dataset. By performing MSRCR and dark channel prior processing on the image, and then performing image fusion and sharpening based on a point sharpness weighting method, the quality of image is improved, and an accuracy of subsequent sea urchin object detection is improved.


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