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Hemp grey yarn image yarn levelness information extraction method based on double light sources

An information extraction, dual light source technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as difficulty in extracting striped information

Pending Publication Date: 2020-10-23
JIANGNAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

No matter what kind of hemp ash yarn, there is a phenomenon of coexistence of black and white fibers in the yarn dryness, and the method of collecting color yarn images cannot be used to obtain the image of hemp ash yarn, so it is difficult to extract the evenness information of the image

Method used

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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  • Hemp grey yarn image yarn levelness information extraction method based on double light sources
  • Hemp grey yarn image yarn levelness information extraction method based on double light sources
  • Hemp grey yarn image yarn levelness information extraction method based on double light sources

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Embodiment Construction

[0023] The present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0024] figure 1 It is a schematic diagram of the technological route of extracting the evenness information of hemp ash yarn image based on dual light sources in the embodiment of the present invention, as shown in figure 1 As shown, the method includes:

[0025] Step 1: Build an image acquisition device

[0026] Such as figure 2 Shown is a schematic diagram of the image acquisition device. In this embodiment, the hemp yarn spun by the siro spinning method is collected and processed. Place the yarn segment to be collected in the collection field of view. First, use the yarn guide device to fix the yarn position. According to the yarn position, determine the placement height of the camera 1 and fix the camera 1. A CCD ring light source 4 is installed below the camera 1 . In order to avoid the influence of the li...

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 belongs to the technical field of yarn image acquisition and processing, and relates to a hemp grey yarn image yarn levelness information extraction method based on double light sources.The method comprises the following steps of: step 1, adjusting an image acquisition device and adjusting camera parameters; and 2, placing a black background plate below a yarn sample without contactwith the yarn, and controlling a camera to complete acquisition of a yarn image. 3, adjusting a light source, and collecting image of the same section of yarn again; 4, preprocessing the yarn image;5, converting the yarn gray level image into a binary image; and 6, extracting yarn levelness information of the black background image obtained in the step 2 by utilizing the binary image obtained inthe step 5. With the method provided by the invention adopted, the yarn levelness information of the yarn image can be accurately extracted on the premise of keeping the yarn color in the image consistent with the actual yarn color, so that the results of fabric simulation, yarn levelness uniformity test and hairiness test by an image processing technology are more accurate and reliable.

Description

technical field [0001] The invention belongs to the technical field of yarn image collection and processing, and relates to a method for extracting evenness information of hemp ash yarn images based on dual light sources. Background technique [0002] With the rapid development of computer image processing technology, its application in the textile field is becoming more and more extensive. Yarn images can be used for fabric simulation, testing yarn evenness and hairiness distribution, etc. Applying yarn images to fabric simulation provides more realism than general fabric simulation methods. Compared with the common capacitive evenness tester, the method of using image processing technology to detect the evenness of the yarn has lower requirements on the ambient temperature and humidity, and the test results are more intuitive. Compared with the detection of yarn hairiness distribution by projection method, the influence of miscellaneous hairs can be eliminated, and the d...

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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IPC IPC(8): G06T7/00G06T7/136G06T7/12G06T7/90
CPCG06T7/0004G06T2207/30124G06T7/12G06T7/136G06T7/90
Inventor 潘如如张晗周建高卫东王蕾孟朔
Owner JIANGNAN UNIV