Tobacco stem and tobacco leaf precise recognition method and system based on dual-energy induction

Abstract

The invention discloses a tobacco stem and tobacco leaf precise recognition method and system based on dual-energy induction. A dual-energy detection structure is adopted on an X-ray imaging part, and due to the fact that high-energy ray and low-energy ray are different in penetrability on different kinds of matter, corresponding gray values are changed when the energy level is changed. On the basis of the characteristic that gray differences of tobacco leaves and tobacco stems in the same image are large in ray images of different energy levels, the tobacco leaves and the tobacco stems can be accurately differentiated, recognition errors caused by imaging are avoided to the large extent, and tobacco leaf and tobacco stem recognition accuracy is improved; the whole system is simple in structure, only one energy X-ray mechanism needs to be additionally arranged or induction lines of different energy levels are used on the basis of an existing recognition system, cost is low, implementation is easy, operation is convenient, and the method and system have large promotion space.

Description

technical field [0001] The invention relates to identification of tobacco stems and tobacco leaves, in particular to a method and system for accurate identification of tobacco stems and tobacco leaves based on dual-energy induction. Background technique [0002] At present, the tobacco stem detection and removal technology in the tobacco leaf flow has been used in the tobacco industry, but the following problems exist in the prior art. Too many tobacco leaves are brought out during the tobacco stem removal process, which is mainly caused by two reasons. One is that the normal tobacco leaves are brought out during the material movement or removal process, and the other is that when there are many layers of tobacco leaves or the tobacco leaves are rolled into one strip, the gray value obtained on the image is similar to the gray value of the tobacco stem, resulting in an algorithm error. Although the shape or aggregation method can be used for further discrimination, some roll...

AI Technical Summary

Problems solved by technology

[0002] At present, the tobacco stem detection and removal technology in the tobacco leaf flow has been used in the tobacco industry, but the following problems exist in the prior art. Too many tobacco leaves are brought out during the tobacco stem removal process, which is mainly caused by two reasons. One is that the normal tobacco leaves are brought out during the material movement or removal process, and the other is that when there are many layers of tobacco leaves or the tobacco leaves are rolled into one strip, the gray value obtained on the image is similar to the gray value of the tobacco stem, resulting in an algorithm error. Although the shape or aggregation method can be used for further discrimination, some rolled tobacco leaves are very similar to the tobacco stems in the image, and it is still difficult to distinguish them, resulting in false selection, which eventually leads to an excessive removal rate of tobacco stems. Therefore, it is best to accurately distinguish the pixel information of the tobacco stem and the tobacco leaf layer on the image, improve the recognition rate on the image, and reduce misjudgment

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