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Yarn defect detection method and device based on a genetic algorithm

A defect detection and genetic algorithm technology, applied in the field of automatic textile machines, can solve problems such as insufficient quality detection

Active Publication Date: 2019-06-21
王合山
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  • Claims
  • Application Information

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Problems solved by technology

[0006] In order to solve the problem that the quality detection is not in place in the current yarn weaving process, the present invention claims a method and device for detecting yarn defects based on genetic algorithm

Method used

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  • Yarn defect detection method and device based on a genetic algorithm
  • Yarn defect detection method and device based on a genetic algorithm
  • Yarn defect detection method and device based on a genetic algorithm

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Embodiment Construction

[0025] The advantages, characteristics, and means for achieving the object of the present invention will be clarified by the accompanying drawings and detailed descriptions that follow.

[0026] The present invention first requests protection of a method for detecting yarn defects based on a genetic algorithm, the method comprising:

[0027] Use a microscope lens to extract the yarn image group, initialize the characteristic parameters of the yarn image group, perform initialization correction, send the collected image of the yarn to the A / D converter for processing, and process all the processed images Said yarn image group is stored to said FPGA chip;

[0028] Carry out standard particle swarm segmentation processing on the yarn image group after initialization and correction, and record the type and length of each discrete particle of the current particle group;

[0029] Extracting the hairiness image of the yarn block image after the segmentation, performing morphological...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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Abstract

The invention requests to protect a yarn defect detection method and device based on a genetic algorithm. The method comprise sthe following steps of extracting a yarn image group by using a microscope lens; initializing characteristic parameters of the yarn image group; nitializing correction, performing standard particle swarm segmentation processing on the initialized and corrected yarn image swarm; extracting the hairiness image of the segmented yarn block image, carrying out morphological processing to obtain a full multi-frame sample image frame, carrying out defect detection of a genetic algorithm on the hairiness image, outputting the optimal defect detection of the yarn genetic algorithm, and storing the yarn image group with the detected defect. Yarn input from the input port endof the yarn textile machine serves as a research object, and a corresponding solution is provided for the application problem of the genetic algorithm in defect detection and diagnosis in the yarn textile detection work process. Through analysis of image processing parameters, an image processing method with good self-adaption is obtained. By combining the advantages of the two length calculationmethods, the length information of the hairiness can be accurately obtained.

Description

technical field [0001] The invention relates to the technical field of automatic textile machines, in particular to a genetic algorithm-based yarn detection method and device. Background technique [0002] At present, in the modern textile industry, machines have begun to be used instead of manual threading. In order to avoid threading errors, a set of real-time monitoring methods and devices must be provided to monitor the number of yarns hooked by crochet needles in automatic threading machines in real time. [0003] Because the crochet hook will pull the yarn when the automatic threading machine is threading, so the existing monitoring method is to use the pressure sensor to sense the pressure of the yarn on the sensor when the crochet hooks the yarn, thus generating a current , and then judge the number of hooked yarns. However, the pressure sensor is a mechanical sensor. With the increase of working time, there will inevitably be wear and tear of the firmware, resultin...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/38G06K9/62G01N21/88
Inventor 王合山
Owner 王合山
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