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:
Aug. 15, 2023

Filed:

Oct. 28, 2022
Applicant:

Institute of Facility Agriculture, Guangdong Academy of Agricultural Science, Guangdong, CN;

Inventors:

Sai Xu, Guangdong, CN;

Huazhong Lu, Guangdong, CN;

Changyuan Zhang, Guangdong, CN;

Xin Liang, Guangdong, CN;

Guangjun Qiu, Guangdong, CN;

Changxiang Fan, Guangdong, CN;

Jian Peng, Guangdong, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 33/12 (2006.01); G06V 10/28 (2022.01); G06V 10/34 (2022.01); G06V 10/36 (2022.01); G06V 10/58 (2022.01); G06V 10/774 (2022.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06V 10/58 (2022.01); G01N 33/12 (2013.01); G06V 10/28 (2022.01); G06V 10/34 (2022.01); G06V 10/36 (2022.01); G06V 10/774 (2022.01); G06V 40/10 (2022.01);
Abstract

An intelligent recognition method of hyperspectral image of parasites in raw fish relates to optical detection technology, and includes step 1: obtaining a hyperspectral image of the raw fish in a wavelength range from 300 to 1100 nm; step 2: extracting a grayscale image of the hyperspectral image at a wavelength value of 437 nm, and obtaining a position range of fish meat in the grayscale image by performing a median filtering process and a binarization process on the grayscale image; step 3: extracting spectral signals of pixel points in the position range of the hyperspectral image, performing a first-order derivative process on the spectral signals, and import the spectral signals after the first-order derivative process into a preset first model, a second model, and a third model for analysis. The method can accurately distinguish the parasite body in the raw fish.


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