Article grading method, article grading device and article automatic grading system

Abstract

The invention discloses an article grading method, an article grading device and an article automatic grading system. The article grading method comprises the steps that 1, a picture containing a to-be-classified article is obtained, and effective pixel points are extracted from the picture; 2, in all or partial channels of RGB channels, the number of pixels occupied in the effective pixel pointsare counted correspondingly when values of each channel component are different, and the ratio of the number of the effective pixel points of all values to the total number of effective pixel points is calculated correspondingly; 3, all ratios are constructed as a color distribution array according to the arrangement order of standard arrays; and 4, the correlation coefficients of the color distribution array and the different standard arrays are calculated correspondingly, one standard array is associated with one grade, each grade is associated with at least one standard array, and the gradeassociated with the standard array participating in the correlation coefficient with the largest calculation value is taken as the grade of the to-be-classified article. The method is little in operation amount, high in parallelism, simple and convenient, and capable of quickly and accurately obtaining the grade of the to-be-classified article.

Description

technical field [0001] The invention relates to the field of article classification and selection, in particular to an article classification method, article classification equipment and an article automatic classification system. Background technique [0002] In life or production, it is usually necessary to distinguish the quality grades of items, such as distinguishing the quality grades of economic crops or agricultural products such as tobacco leaves, tea leaves, and fruits, so as to obtain greater economic benefits for graded sales or graded processing. With the rapid development of the economy, people's demand for cash crops or agricultural products is increasing. How to achieve efficient, convenient and low-cost grading of cash crops or agricultural products has become an urgent problem. [0003] At present, the processing and production of economic crops or agricultural products are mainly selected and graded by hand, mainly relying on the subjective feelings of wor...

AI Technical Summary

Problems solved by technology

However, it takes a long time to establish the tobacco leaf grading model, and the algorithm in the actual operation of the model is complex and time-consuming

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