A method, system, terminal device and storage medium for grading yellow pearls

Through the method of image acquisition and artificial intelligence model training, the problems of low color grading accuracy and low degree of automation of yellow pearls are solved, and high-precision and automated yellow pearl grading are achieved.

CN116452517BActive Publication Date: 2025-06-27SHENZHEN GILDER TECH CO LTD
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Patent Information

Application Number
CN202310307091.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-03-27
Publication Date
2025-06-27
Estimated Expiration
2043-03-27

AI Technical Summary

Technical Problem

There is a lack of effective yellow pearl color grading methods in the prior art, resulting in low grading accuracy, susceptible to human factors, and automated grading cannot be achieved.

Method used

Through image acquisition, ColorImpact software color extraction, point-in-filling in color space, classifying sample images based on parameter range, training and optimizing artificial intelligence machine models, realizing automatic grading of yellow pearls.

Benefits of technology

The color distinction accuracy of yellow pearls is improved, errors and errors of manual grading are reduced, and the automation and accuracy of color grading of yellow pearls is achieved.

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Abstract

The present invention relates to the field of detection technology, and particularly to a method, system, terminal device and storage medium for grading yellow pearls. By collecting sample images of a variety of yellow pearls under specific conditions, using ColorImpact software to extract the colors of the sample images to obtain target recognition elements, projecting points in the chromaticity space, determining the parameter ranges of the color levels of each target recognition element, classifying the sample images based on the parameter ranges to obtain a sample image training set, inputting the sample image training set into an artificial intelligence machine model for training, enabling the artificial intelligence machine to automatically grade and being able to approach an accurate grading result infinitely, eliminating the errors and inaccuracies of manual grading to obtain a grading model, and giving a grading result for the yellow pearls to be graded through the grading model, which can effectively improve the color discrimination accuracy of yellow pearls and ensure the color grading of yellow pearls.
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