Cloth surface defect detection device and method based on machine vision

Abstract

The invention discloses a cloth surface defect detection device and method based on machine vision. The detection device is assembled by modules, and comprises a preprocessing module, a visual detection module and a rolling module. The method comprises the steps of: using an area-array camera module in the visual detection module to shoot a defect-free cloth image as a standard sample, calculating a flat field correction matrix according to the standard sample, and realizing brightness compensation; calculating a clustering center and other characteristic parameters of the standard sample by adopting a principle of a K-means clustering algorithm; shooting cloth to be detected in real time and performing flat-field correction by the area-array camera module; carrying out edge detection and area cutting according to a brightness value difference between the background and the cloth image; calculating the Euclidean distance from a pixel of a to-be-detected image to a clustering center, and judging whether defects exist or not according to a threshold value; and if so, storing the defect image. The problems that traditional manual visual inspection is low in detection speed, low in precision, high in omission ratio and high in false detection rate are solved, and automatic detection development in the textile field is promoted.

Description

technical field [0001] The invention relates to the field of cloth detection, in particular to a machine vision-based cloth surface defect detection device and method, which can detect defects in running cloth in real time. Background technique [0002] The textile industry occupies an important position in the national economy and provides people with indispensable items in daily life such as clothes, curtains and bedding, and is closely related to people's lives. However, in the process of textile production, factors such as mechanical failure, manual operation error and external environmental interference will cause defects on the surface of textiles. The occurrence of defects will seriously affect the appearance of textiles, and will cause serious damage to the corporate image and economic benefits of textile manufacturers. In the textile industry, cloth defects directly affect the grading of cloth. According to its quality, cloth can be divided into first-class, first...

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Problems solved by technology

In addition, the detection of cloth defects is boring, which seriously damages the eyesight of cloth inspection workers

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