Automatic detection and identification method and system for grey green fine foreign fibers

Abstract

The invention discloses an automatic detection and identification method and detection and identification system grey green fine foreign fibers, and the method comprises the steps: dynamically collecting a real-time cotton flow image of an image collection region, and processing the cotton flow image into an RGB true color image; segmenting the RGB true color image according to a set threshold, and marking pixels of a grey green area in the RGB true color image to obtain a different color point area; calibrating pixels with gradient changes having special-shaped characteristics in the RGB truecolor image through a gradient calculation method, and obtaining a special-shaped area; cleaning and filtering intersection pixels of the heterochromatic area and the special-shaped area, and removing noise points; and determining the position of the foreign fiber in the filtered image by adopting a sliding mask mode, and performing marking to finish foreign fiber identification. According to theautomatic detection and identification method and the detection and identification system, the grey green foreign fiber identification rate can be improved, the false spraying rate of normal cotton is reduced, and the quality of final cotton products of a textile mill is improved.

Description

technical field [0001] The invention relates to the technical field of textile electronic equipment, in particular to an automatic detection and identification method and a detection and identification system for gray-green small foreign fibers. Background technique [0002] When textile enterprises further process cotton, they first need to remove foreign fibers in cotton. At present, the commonly used cleaning method is to make the cotton pass through the image acquisition area at high speed, collect images through a high-speed camera and process them in real time to determine whether there are foreign fibers, and if they exist, they will be ejected. If the foreign fiber is not sprayed out, it will have a great impact on the quality of the final cotton fabric; if it is sprayed too much by mistake, it will cause waste of cotton, which does not meet the economic needs of the textile mill. Therefore, it is necessary to develop an algorithm that can ensure that the amount of ...

AI Technical Summary

Problems solved by technology

If the foreign fiber is not sprayed out, it will have a great impact on the quality of the final cotton fabric; if there is too much spraying by mistake, it will cause waste of cotton, which does not meet the economic needs of the textile mill

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