Method and device for automatically detecting fiber content in textiles based on digital images

Abstract

The invention discloses a method and a device for automatically detecting fiber content in textiles based on digital images, and belongs to the technical field of textile quality inspection. The method comprises the following steps: using the detection device to obtain fiber images for inspecting different focal planes of the textiles; compounding the different focal planes to obtain compounded clear fiber images; according to a shooting route, marking and counting specific fibers one by one through a counting method for the number of digital image fibers; and thus, realizing automatic detection for the fiber content in the textiles. The detection device comprises a computer, a three-dimensional controllable mobile platform and a high-power microscope, wherein the computer is provided withmodules such as a three-dimensional platform control and drive module, a digital image scanning and storage module and a digital image fiber root counting module. The fiber components are inspected by adopting a digital method, and the detection of fiber content in the textile is accurately and efficiently solved through automatic fiber counting.

Description

technical field [0001] The invention belongs to the technical field of textile quality inspection, and relates to a detection technology of fiber content in textiles, in particular to an automatic detection method and device for fiber content in textiles based on digital images. Background technique [0002] One of the daily tasks of fiber inspection is to inspect the fiber content of the textiles submitted for inspection, that is, to detect the percentage of a certain fiber, such as cotton, in the textile composition. The current inspection method is that the inspectors will send the textiles for inspection to dismantle the yarn. The dismantled yarns (fibers) were clamped on a glass slide, and the slide was moved under a microscope at 500X to count specific fibers. This counting method is inefficient and the inspection process cannot be repeated. To prevent bias, different inspectors are often also required to inspect the same piece of textile. [0003] It can be seen th...

AI Technical Summary

Problems solved by technology

[0003] It can be seen that the existing detection technology of fiber content in textiles is a manual method, which has high labor costs and low efficiency. Moreover, the inspection process and results cannot be reviewed, and the accuracy rate is low.

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