A cigarette quality detection method based on two-level algorithm

Abstract

The invention discloses a method for detecting the quality of cigarettes based on a two-level algorithm, which includes: collecting an original image, identifying a region of interest on the original image to extract a target image, and then performing grayscale and binarization processing; extracting two The maximum target contour of cigarettes in the target image processed by value processing, and calculate the contour area according to the maximum target contour, compare the contour area with the area threshold, determine unqualified cigarettes, and realize the first level detection of cigarette quality; For the remaining cigarettes that are eliminated first, use the Match Template function to match the cigarettes in the target image with the cigarette standard template, compare the matching value with the matching threshold, determine the unqualified cigarettes, and realize the second-level inspection of the quality of the cigarettes , remove unqualified cigarettes. Cigarettes that have not been eliminated after the secondary detection algorithm are judged as qualified cigarettes and are retained. Through the analysis and judgment of the cigarettes to be tested, the unqualified cigarettes are eliminated, so as to reduce production costs and improve the quality of cigarette products.

Description

technical field [0001] The invention belongs to the field of quality detection, and in particular relates to a method for detecting the quality of cigarettes based on a secondary algorithm. Background technique [0002] With the continuous improvement of my country's cigarette production technology, the automation and intelligence of rolling and packaging equipment has become the future development trend of the tobacco industry. ZJ116 ultra-high-speed crimping unit has the characteristics of fast production speed and high degree of automation, and is widely used in various domestic cigarette enterprises. However, this equipment does not have the function of inspecting the appearance quality of cigarettes during the filter tipping process. It only relies on manual visual inspection for inspection, and problems such as missed inspections and false inspections of cigarette defects often occur. Quality defects such as uneven paper length and uneven pasting affect the appearance...

AI Technical Summary

Problems solved by technology

Although the online detection device uses machine vision to detect the quality of cigarettes, it does not use different technical processing for different defective cigarettes and does not consider interference factors such as noise and provide specific image processing and analysis methods. , therefore, the detection effect and detection speed cannot be expected

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