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Image segmentation method for extracting single-fiber sample from multi-fiber sample and image processing device

A technology of image segmentation and sample images, applied in the field of image recognition, to achieve the effect of low labor and time costs

Pending Publication Date: 2022-05-17
CHONGQING ACAD OF METROLOGY & QUALITY INST
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Problems solved by technology

[0005] In view of this, the object of the present invention is to provide an image segmentation method for extracting single-fiber samples from multi-fiber samples, to solve the technical problem of preparing single-fiber samples for training and verification of deep learning methods for detecting textile fiber raw materials

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  • Image segmentation method for extracting single-fiber sample from multi-fiber sample and image processing device
  • Image segmentation method for extracting single-fiber sample from multi-fiber sample and image processing device
  • Image segmentation method for extracting single-fiber sample from multi-fiber sample and image processing device

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Embodiment Construction

[0048] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0049] In this embodiment, the image segmentation method for extracting a single-fiber sample from a multi-fiber sample comprises the following steps:

[0050] 1) Prepare a multi-fiber sample image, which includes:

[0051] a) Take the fiber sample and lay it flat on the test bench, use tweezers to tweeze some fibers in different parts of the fiber sample in equal amounts, preferably more than 500 mg of fiber, and preferably more than 20 points for tweezing; then take the tweezers The fibers are mixed, and then arranged so that the fibers are basically in a parallel state;

[0052] b) cutting fiber segments in the middle of the tweezed fibers, the length of the fiber segments is preferably 0.4 mm to 0.6 mm, and the same fiber is only cut once;

[0053] c) Put all the fiber segments on the container, drop an appropriate amount of liquid medium into the...

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Abstract

The invention discloses an image segmentation method and an image processing device for extracting a single fiber sample from a multi-fiber sample, and the method comprises the steps: preparing a multi-fiber sample image, processing the multi-fiber sample image, extracting a boundary pixel point list of a multi-fiber contour in the image, and calculating a distance matrix between boundary points to recognize the fiber contour. Extracting a single fiber sample picture through the original picture; the image processing device comprises a microscope, a scanning module, an image processing module and a distance matrix calculation and processing module. According to the method, the high-quality single-fiber sample images are extracted from the multi-fiber images, a large number of high-quality single-fiber sample images can be prepared with low labor and time cost by adopting the method, and then the technical problem of providing training and verifying single-fiber samples for a deep learning method for detecting textile fiber raw materials can be solved.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a technique for preparing a single fiber image by using multi-fiber images of textile raw materials. Background technique [0002] The determination of the content of various fiber components in textile raw materials is an important indicator to determine the value and application range of the raw materials. According to the national standard of the People's Republic of China (GB / T 16988-2013) "Determination of the content of mixtures of special animal fibers and sheep wool", the current qualitative and quantitative analysis of the content of various fiber components in textiles still uses chemical determination methods and manual screening methods. These methods require analysts to have a higher professional level, and it takes a long time (2-3 days) to complete. [0003] In recent years, the development of artificial intelligence, especially the increasing perfection...

Claims

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Application Information

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IPC IPC(8): G06T7/13G06N20/00
CPCG06T7/13G06N20/00G06T2207/30124
Inventor 黄瀚瑶罗媛媛蔡白雪李涵彭明伟
Owner CHONGQING ACAD OF METROLOGY & QUALITY INST
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