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Yarn detection method based on image morphology recognition

A detection method and similarity technology, applied in the direction of measuring device, optical testing defect/defect, textile and papermaking, etc., can solve the problems of high installation requirements, easy to be interfered, narrow detection area, etc., and achieve insensitivity to changes in ambient light. , Reliable work, simple principle effect

Active Publication Date: 2020-04-14
宁夏恒丰瑞斯特科技有限公司
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Problems solved by technology

This method has the advantages of simple principle and low cost, but the gain of the amplifier circuit is very large, it is easy to be interfered, and the detection area is very narrow, which requires high installation

Method used

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Embodiment Construction

[0014] Now in conjunction with accompanying drawing, the present invention will be further described:

[0015] refer to figure 1 -2. A yarn detection method based on graphic similarity comparison, which includes a U-shaped casing and an electronic control device inside the casing. A processor, an infrared emitting unit 1 and an image sensor 2 connected to the processor, and an infrared filter 3 is arranged on the image sensor 2 .

[0016] The power supply circuit converts the input power level and stabilizes the voltage to provide power for other circuits.

[0017] The image sensor 2 is configured as a CCD linear image sensor or a CMOS linear image sensor sensitive to infrared rays, and the processor can read image data as required.

[0018] The infrared filter 3 can filter out light other than infrared light, which can greatly improve environmental adaptability and avoid interference from external light sources. In order to enhance the clarity and contrast of yarn imaging,...

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Abstract

The invention discloses a yarn detection method based on image morphology recognition. A shell and an electronic control device arranged in the shell are arranged; the electronic control device comprises a power supply circuit, a processor, an infrared transmitting unit connected with the processor and an image sensor; and a yarn state judging method is set in the processor. The method comprises the following steps that (1), every fixed period T, the processor collects image data ft(x,y) output by the image sensor; (2), a binarization algorithm is adopted to carry out binarization processing on the image data ft(x,y) to obtain yt(x,y); (3), the sum Ri of the absolute values of the differences of a current binary function yt(x,y) and a last sampling binary function yt-1(x,y) at different offsets i is calculated; (4), the minimum value Rmin in the Ri is obtained by comparison, wherein the Rmin is the similarity between the binary functions yt(x,y) and yt-1(x,y); and (5), when the Rmin isgreater than or equal to a preset threshold K, a yarn is judged to be in a moving state, and when the Rmin is less than or equal to the preset threshold K, the yarn is judged to be in a static state.

Description

technical field [0001] The invention relates to a yarn detection method based on graph similarity comparison, which belongs to the technical field of textile electronics. Background technique [0002] Yarn is the main raw material or even the only component of clothing, so the quality of the yarn or the state of the production process determines the quality of the clothing. For example, seamless underwear machines and socks machines, if a group of yarns are broken or lack of yarns, if they are not found in time, the whole garment will be scrapped. Therefore, yarn state detection can effectively reduce the defective rate, improve production efficiency, and reduce production costs. The currently used yarn state sensor uses a differential infrared photosensitive diode for detection. This method has the advantages of simple principle and low cost, but the gain of the amplifying circuit is very large, it is easy to be interfered, and the detection area is very narrow, which req...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): D04B35/12D04B35/14G01N21/88G01N21/95
CPCD04B35/12D04B35/14G01N21/95G01N21/8851G01N2021/8887
Inventor 刘瑜
Owner 宁夏恒丰瑞斯特科技有限公司
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