On-line intermittent hollow filter stick detection method based on regional feature analysis

A technology of regional characteristics and detection methods, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of relatively strict physical characteristics, lower false detection rate of control system, high false detection rate and missed detection rate, etc. Achieve stable and reliable detection effect, improve detection performance and fast speed

Pending Publication Date: 2020-12-18
HUBEI CHINA TOBACCO IND +1
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Problems solved by technology

The traditional detection method of defective hollow filter rods adopts the detection method of manual sampling, but this method has disadvantages such as strong subjectivity of detection effect, low efficiency, high false detection rate and missed detection rate, so it cannot meet the needs of current industrial production
Other common filter rod detection methods

Method used

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  • On-line intermittent hollow filter stick detection method based on regional feature analysis
  • On-line intermittent hollow filter stick detection method based on regional feature analysis
  • On-line intermittent hollow filter stick detection method based on regional feature analysis

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[0042]In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0043](1) Obtain images of intermittent hollow filter rods in ten batches, each time 1,000 pieces, a total of 10,000 pieces, obtain images of intermittent hollow filter rods, and convert the obtained filter rod images into RGB color and grayscale image data. Further convert to HSV color and YUV color, record the segment length as l, calculate the average value of the area with the filter rod R channel data l...

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Abstract

The invention belongs to the technical field of machine vision detection, and provides an on-line intermittent hollow filter stick detection method based on regional feature analysis, which comprisesthe following steps: (1) performing color space conversion and multichannel analysis on a filter stick image acquired by imaging equipment of an on-line intermittent hollow filter stick detection system so as to improve the distinction degree of a bright section and a dark section of a filter stick; (2) dividing the extracted channel data with the highest distinction degree into a bright section area and a dark section area by adopting a maximum between-cluster variance method; (3) after a bright section area and a dark section area of the intermittent hollow filter stick are divided, calculating the phase and the length of the subsection, determining the phase of the subsection by using an ensemble learning algorithm, further calculating the length of the subsection, and judging whether the filter stick product is qualified or not according to the phase and the length of the subsection of the intermittent hollow filter stick. According to the method, the image characteristics of the intermittent hollow filter stick are extracted and analyzed, the corresponding detection algorithm is optimized, and the high-speed and high-quality production requirements are met.

Description

technical field [0001] The invention belongs to the technical field of machine vision detection, and in particular relates to an online intermittent hollow filter rod detection method based on regional feature analysis. Background technique [0002] The production process of cigarette filter rods will produce defective products, usually including segment phase, segment length defects, etc. The traditional detection method of defective hollow filter rods adopts the detection method of manual sampling, but this method has disadvantages such as strong subjectivity of detection effect, low efficiency, high false detection rate and missed detection rate, so it cannot meet the needs of current industrial production . Other common filter rod detection methods include sensor detection and microwave detection. These two methods basically meet the needs of industrial production, but still have the disadvantage of high detection error rate. In addition, these two detection methods hav...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/34G06K9/62
CPCG06V10/26G06V10/462G06V10/56G06F18/217G06F18/24
Inventor 侯宁彭三文程占刚邓少鹏张千
Owner HUBEI CHINA TOBACCO IND
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