Pork quality grade nondestructive evaluation method based on hyperspectral imaging

By combining standardized processing of pork samples and hyperspectral imaging technology, the error problem caused by inconsistent surface state of the sample in pork detection is solved, and a high-precision and high-efficiency pork quality rating evaluation is achieved.

CN119715403AInactive Publication Date: 2025-03-28SHANDONG AGRICULTURAL UNIVERSITY +2
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Patent Information

Application Number
CN202411592831.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-08
Publication Date
2025-03-28
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In pork detection, existing hyperspectral imaging technology leads to errors in detection of samples, affecting the accuracy of the detection results.

Method used

Color features and quality evaluation were extracted by standardizing the processing of pork samples, including cutting into uniform size and shape, and cleaning surface impurities, combining chromatic aberration analysis and calibration of hyperspectral imaging systems, and the hyperspectral image information was collected and corrected using image analysis and pork quality evaluation models.

Benefits of technology

It significantly improves the accuracy and reliability of pork quality rating evaluation, shortens the detection time, improves the detection efficiency, and realizes the scientific and standardized grading of pork quality.

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Abstract

The invention discloses a pork quality grade lossless evaluation method based on hyperspectral imaging, and relates to the technical field of pork detection.The pork quality grade lossless evaluation method comprises the following steps that pork samples of different qualities are prepared, and standardization processing is conducted on the pork samples; performing chromatic aberration analysis on the pork samples with different qualities by using a colorimeter, and performing quality grade division on the pork samples with different qualities based on the analysis results of the muscle color, the fat color and the gloss of the pork. According to the pork quality grade lossless evaluation method based on hyperspectral imaging, reflection or transmission information of a pork sample in a plurality of continuous spectral wavebands is captured by using a hyperspectral imaging technology, accurate evaluation of the pork quality grade is realized by analyzing spectral data, higher-dimension data is provided, and the evaluation accuracy of the pork quality grade is improved. Meanwhile, rapid scanning can be achieved, the detection time is greatly shortened, the overall detection efficiency is improved, and pork quality monitoring is more efficient and timely.
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