An Algorithm for an Intelligent Color Sorter

Abstract

The invention discloses an algorithm of an intelligent color selector. The algorithm comprises the following steps that 1, signals are collected, particularly, a CCD sensor on the color selector is used for collecting alternative material signals, and the alternative material signals at least comprise alternative material color signals; 2, the signals are decomposed, particularly, a processor is set for processing the alternative material color signals, and the alternative color signals are decomposed to be R grey scale signals, G grey scale signals and B grey scale signals; 3, the signals are processed, particularly, an algorithm rule device is set for receiving the R grey scale signals, the G grey scale signals and the B grey scale signals; and the R grey scale signals, the G grey scale signals and the B grey scale signals are calculated respectively according to the algorithm rule. The color selection precision is high, beating is accurate, precision beating can be carried out on various kinds of materials during coarse cereal color selection and industrial color selection, and the color selection effect is good.

Description

technical field [0001] The invention belongs to the technical field of color sorting machines, and specifically relates to an algorithm of an intelligent color sorting machine. Background technique [0002] The use of color sorters has been used in agricultural processing plants for nearly 10 years, but the processing accuracy and clarity still need to be improved. With the development of color sorters, processing plants have more and more requirements for improving the quality of agricultural products and industrial products. The more there are, the higher the quality will be, but the color difference of the product is quite subtle. For example, mung beans with black inside, red inside green, and white inside are all bad mung beans. Purple kidney beans (purple and white kidney beans) with watermarks, blackening, and whitishness are all bad beans, but the current color sorter can only identify some simple and less complicated bad beans and impurities, which cannot meet the f...

AI Technical Summary

Problems solved by technology

Purple kidney beans (purple and white kidney beans) with watermarks, blackening, and whitishness are all bad beans, but the current color sorter can only identify some simple and less complicated bad beans and impurities, which cannot meet the further color requirements. Election requirements