A Construction Method of Electronic Blackboard Based on Yarn Sequence Image

Abstract

The invention discloses a construction method of an electronic blackboard based on yarn sequence images. The construction method comprises the following steps: yarns to be detected move at a constant speed and pass through a camera bellows, images of the yarns to be detected are collected continuously and are stored, and the yarn sequence images are obtained; redundant background parts in the yarn sequence images are cut off, and then sharp processing on the yarn sequence image sequence is carried out to obtain yarn levelness images; the yarn levelness images are scanned, pixel quantity between left edge points and right edge points of the yarns is counted, and the counted results are stored according to the sequences to obtain yarn sequence diameter data; the yarn sequence diameter data are segmented, base lines are fixed on a blank electronic blackboard and the blank electronic blackboard is filled with pixel points according to the yarn spacing reference standard to generate a yarn electronic blackboard image. The automatic construction of the electronic blackboard is realized on the basis of the yarn sequence images, so that the conventional yarn blackboard can be replaced well, and a foundation is laid for objective evaluation and grading of the appearance quality of the yarns.

Description

technical field [0001] The invention relates to the field of yarn quality detection methods, in particular to a construction method of an electronic blackboard based on yarn sequence images. Background technique [0002] Yarn dryness uniformity refers to the degree of thickness variation of the yarn along the length direction, and is an important indicator to measure the quality of the yarn. The unevenness of the yarn will not only cause yarn defects, affect the appearance and strength of the yarn, but also cause breakage and downtime during weaving. Yarn appearance defects are one of the important reasons that directly affect cloth surface defects, and the blackboard inspection method is a convenient and quick method to detect appearance defects. The traditional blackboard detection method is also called eye detection method. It directly visually detects the degree of uneven thickness, quantity, and shadow depth of the appearance of the yarn on the blackboard, and compare...

AI Technical Summary

Problems solved by technology

However, there are two shortcomings in this detection method: ①All the standard samples are samples of ring-spun yarns; the physical and appearance properties of yarns produced by different spinning systems are very different. Spinning standard samples to evaluate the appearance quality of air-spinning and air-jet spinning will produce deviations ②The current spinning system has produced yarns with better appearance than the superior standard samples; for appearance quality higher than the superior standard yarn, the blackboard detection method has no way to make further distinction and discrimination

Therefore, the instrument cannot be directly used in the scope of application of the current industry standards in our country.

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