Terylene DTY network point detection method based on image processing technology

Abstract

The invention relates to a terylene DTY network point detection method based on an image processing technology, and the method comprises the steps: (1) carrying out the morphological image processing of a single image B (x, y) after binarization operation, and obtaining an image Bp (x, y), wherein the single image B (x, y) is an image of a polyester DTY filament, and the polyester DTY filament in the image is parallel to the horizontal direction of the image and is formed by splicing a plurality of continuous non-overlapped images; (2) calculating the number of pixel points of the terylene DTY filament in the image Bp (x, y) on the column where the ith pixel point of the terylene DTY filament on a certain line is located as the diameter di corresponding to the ith pixel point; (3) positioning a network point area in the image Bp(x, y); (4) processing IMi by adopting morphological opening operation; (5) eliminating a pseudo network point area in the network point area in the Bp(x, y); and (6) counting the number of the areas with the IMi value being continuously 1, and calculating the network degree. According to the method, dependence on people is reduced, the detection requirement of the terylene DTY filament network points is met, and the application value is high.

Description

technical field [0001] The invention belongs to the technical field of polyester filament quality detection methods, and relates to a polyester DTY network point detection method based on image processing technology. Background technique [0002] Polyester low-stretch yarn, referred to as DTY, is made of polyester chip as raw material, high-speed spinning polyester pre-oriented yarn, and then processed by drawing and false twisting. It has the characteristics of short process, high efficiency and good quality. Existing polyester yarns, whether they are full-drawn yarns or DTY, are composed of multiple polyester monofilament fibers. Generally, the multifilaments are reinforced by network processing technology, so that the monofilaments are cohesive, which is for the later avoidance. Sizing weaving provides favorable conditions. The yarn processed by network technology is called network yarn, and the number of network points contained in each meter of network yarn is called n...

AI Technical Summary

Problems solved by technology

[0003] The invention provides a polyester DTY network point detection method based on image processing technology, the purpose of which is to solve the problem of low efficiency of relying on artificial vision to detect the network degree of polyester DTY filaments in the prior art

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