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Automatic cutting method of embroidery cloth based on combination of DST file parsing and machine vision

A technology of automatic cutting and file analysis, which is applied to the mechanism of embroidery machines, automatically controlled embroidery machines, instruments, etc., can solve the problems of low technological content and work efficiency of cutting systems, low material utilization rate, and high proportion of defective products. Achieve the effect of improving labor productivity, high work efficiency and low failure rate

Inactive Publication Date: 2012-10-03
SOUTHEAST UNIV
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Problems solved by technology

[0009] Purpose of the invention: In order to overcome the problems of low work efficiency, low material utilization rate and high cost in the prior art
The invention solves the shortcomings of the original cutting system, such as low technological content, low work efficiency, and high proportion of defective products, by using the method of machine vision.

Method used

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  • Automatic cutting method of embroidery cloth based on combination of DST file parsing and machine vision
  • Automatic cutting method of embroidery cloth based on combination of DST file parsing and machine vision
  • Automatic cutting method of embroidery cloth based on combination of DST file parsing and machine vision

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Embodiment Construction

[0032] Theoretical Basis: Image Recognition. The first step in image recognition is to extract effective image features. Here, we mainly introduce moment features and contour features. The moment features include Hu moment, normalized moment of inertia (NMI) and affine invariant moment. The contour feature quantity includes contour discretization parameters and singular value decomposition. These five feature quantities all have good translation, rotation and scale invariance, and have been widely used in image target recognition.

[0033] Attached below figure 1 The present invention is described further.

[0034] 1DST file analysis

[0035] Because the computer-designed embroidery file is in DST format, its internal features and image information cannot be directly obtained. Therefore, the first step of the present invention is to analyze the DST file to obtain its image information and internal features. The DST file is composed of a header file and a pattern file body....

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Abstract

The invention discloses an automatic cutting method of embroidery cloth based on combination of DST file parsing and machine vision. In wool toy manufacturing industry, the profile and pattern of the wool toy are processed by adopting an embroidery machine, and the whole embroidery piece is cut one by one by adopting a laser cutter. The method comprises the steps of: firstly parsing a DST file (embroidery file) into an image file, selecting cutting units from the image file, and extracting the information of the cutting units to obtain the inside parameter of the unit; and carrying out correlated processing according to the image of cut sample obtained by camera shooting, matching the obtained cutting unit information with the processed sample, finally determining the cutting line position, generating a PLT file and cutting by a cutter. Different from other laser cutting methods based on machine vision, the method can finish cutting of the whole embroidery sample just by once shooting; and the method has the characteristics of high working efficiency and low unqualified rate, and has very strong cutting capability on the complicated embroidery sample.

Description

technical field [0001] The invention relates to an automatic cutting method for embroidered cloth, which is based on the combination of DST file analysis and machine vision. Background technique [0002] There are two main types of embroidered cloth laser cutting systems: one is to cut once on the white paper, then place the embroidered cloth sample on the cutting surface, and align the pattern on the embroidered cloth with the outline cut out on the white paper Cut again; the other is to install a camera on the laser cutting head, and each time a pattern unit is cut, a sample must be taken and processed once, that is, only one pattern unit can be cut at a time. Due to the problems of low working efficiency and high proportion of defective products in the existing cutting system, a new cutting method is urgently needed to replace the current method. The rapid development of machine vision provides us with a new way of thinking to solve the above problems. [0003] Machine ...

Claims

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Application Information

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IPC IPC(8): D05C7/10G06K9/64
Inventor 李新德金晓彬曹久祥张秀龙
Owner SOUTHEAST UNIV
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