In recent years, the flour market has a huge market, especially high-quality flour. This is mainly because people’s living standards have improved and the concept of consumption is changing. Therefore, high-quality flour is more popular. In this context, based on the machine The progress of grain and oil technology such as the visual whiteness tester has also provided technical solutions for the production of high-quality flour, which further promoted the prosperity and development of the flour industry.
We know that flour has a very distinctive feature, that is, the whiteness of flour. In our consciousness, flour is usually whiter and better. In order to meet the consumer's selection criteria, whiteness is the most high-quality flour production. An important quality indicator is now mostly measured by a whiteness meter. However, before that, the detection of flour whiteness was mostly off-line, and its real-time performance was poor, automation was low, operation was complicated, and the detection accuracy was not high. After the appearance of the measuring instrument, these problems are solved very well.
From the principle of view, the brightness meter is based on machine vision to measure whiteness, it is the organic combination of computer image processing technology and colorimetry theory. The first is that the signal from the measured flour passed through the CCD camera is sent to a computer. The signal is processed by the computer and then calibrated against the standard whiteness and blackness to calculate the whiteness value of the measured sample.
Based on the application of the machine vision brightness meter, the on-line detection of whiteness of flour can be realized, which can provide a basis for the setting of the flour processing parameters. For example, for the current detected whiteness value, the milling process parameters can be adjusted in real time. In order to obtain a stable and uniform whiteness of the product. Therefore, it can be said that based on the machine vision brightness meter to improve the degree of automation of whiteness detection, to achieve high-precision detection goals, and thus improve the quality of flour processing, in modern flour production, is a very important technical application.
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