Determination method for quantitatively detecting thick cabo rate and long and short cabo rates in caboes on basis of X-ray transmission image

Abstract

The invention relates to a determination method for quantitatively detecting a thick cabo rate and long and short cabo rates in caboes on the basis of an X-ray transmission image. By utilizing X-ray image feature difference between the caboes and tobacco leaves, the method adopts gray-scale morphological denoising and image segmentation by a region growing method to preprocess an image, meanwhile,a fuzzy C-mean value clustering algorithm based on an unsupervised machine learning function is adopted for belonging judgment, and according to a shape judgment factor, an image recognition algorithm for the nondestructive detection and recognition of caboes in tobacco leaf material are designed and implemented. Moreover, according to a conventional definition standard for thick caboes and longand short thick caboes, a quantitative detection algorithm for cabo morphology is further established, which includes the detection and calculation of the thick cabo rate and the long and short cabo rates, a thick cabo rate detection algorithm mainly relates to cabo diameter extracted by a segmented bounding rectangle method, thickness cabo judgment and thick cabo quality calculation. A long and short cabo rate detection algorithm mainly relates to cabo skeletonization, skeleton length calculation, long and short cabo judgment and quality calculation. The advantage is that the determination method can remarkably increase the accuracy of a detection result and working efficiency and eliminate anthropogenic influence.

Description

technical field [0001] The invention relates to the technical field of tobacco processing, in particular to a method for quantitatively detecting thick stems and long and short stems in tobacco stems based on X-ray transmission images. Background technique [0002] In the production and processing of tobacco products, the purity of tobacco is the focus of quality control, which will directly affect the quality and stability of the product. Therefore, the control of the purity of tobacco materials runs through the main processing links of tobacco products. The tobacco stems in the finished tobacco sheets in the threshing and redrying process, and the stems produced after shredding in the silk making process are all homogeneous impurities that need to be controlled in tobacco processing. [0003] Quantitative detection of tobacco stem morphology is the key to the design of cigarette products and the blending quality of cut stems in shredded tobacco. The quantitative detection...

AI Technical Summary

Problems solved by technology

The disadvantage of this invention is that the leaves are separated from the stems after threshing and re-roasting, but in this process, it is inevitable that some tobacco sheets will wrinkle, and then wrap part of the tobacco stems, and finally this part is wrapped by the tobacco sheets. Tobacco stems enter the tobacco stem material after winnowing, and the visible light image analysis technology adopted by the equipment cannot detect and identify the tobacco stems wrapped in tobacco sheets, so the measured long stem rate may deviate from the true value; This invention can not realize the measurement of the thick stem rate of the tobacco stem while measuring the long stem rate of the tobacco stem

[0007] At present, the application and research of X-ray transmission image analysis technology in the quantitative detection of tobacco stems is still in its infancy, and there are no relevant patents or public literature reports on the quantitative detection of thick stems and long and short stems in tobacco stems based on X-ray transmission images

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