Tobacco shred wet mass online detection method and system based on hyperspectral imaging and time-space fusion

CN121384866APending Publication Date: 2026-01-23ZHENGZHOU TOBACCO RES INST OF CNTC
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Patent Information

Application Number
CN202511503553.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-21
Publication Date
2026-01-23

AI Technical Summary

Technical Problem

Existing technologies cannot effectively identify and locate localized high-moisture areas (wet clumps) in tobacco streams, leading to equipment blockage, substandard cigarette quality, and safety risks. Furthermore, traditional detection methods are easily affected by changes in light intensity and tobacco layer thickness, resulting in false alarms or missed alarms.

Method used

A hyperspectral imaging and spatiotemporal fusion method is adopted to acquire hyperspectral data cubes of tobacco flow, calculate standardized moisture index images, set thresholds for binarization and morphological cleaning, identify wet patch regions, merge adjacent rectangles, remove boxes that do not meet the area conditions, and generate the final bounding rectangle of the wet patch.

Benefits of technology

It enables accurate positioning and identification of wet clumps, reduces misjudgments and missed detections, meets the high-speed real-time online detection requirements of cigarette production lines, and ensures product quality and safety.

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Abstract

The invention provides a tobacco shred wet mass online detection method based on hyperspectral imaging and time-space fusion, which comprises the following steps: acquiring a hyperspectral data cube of a tobacco shred flow, extracting a tobacco shred area and generating a mask; calculating a standardized moisture index of each pixel point in the mask according to the spectral response values of the moisture absorption wave band and the reference wave band to obtain a standardized moisture index image; based on a set index threshold value, converting the standardized moisture index image into a binary image, and performing morphological cleaning; carrying out wet group identification and marking on the cleaned binarized image to obtain an external rectangular frame of the binarized image; overlapping or adjacent external rectangular frames are combined, the combined external rectangular frames are screened based on the minimum area threshold value, the external rectangular frames which do not meet the area condition are removed, and the final tobacco shred wet mass external rectangular frames are obtained; according to the invention, misjudgment caused by shielding is significantly reduced; the high-speed and real-time online detection requirements of a cigarette production line can be completely met.
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Citation Information

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