Device and method for analyzing fiber composition content in fabrics

Abstract

The invention relates to a device and a method for analyzing the fiber composition content in fabrics, which are used for observing and identifying fibers by utilizing the difference of fibers in apparent micro morphogenesis, and calculating the content of mixed fibers in the surface layer through accurately counting the number of fibers. The device comprises a multifunctional sample platform, a two-dimensional free moving system, a digital photography system, a combined oblique incidence illuminating system, a supporting system and a computer, wherein the multifunctional sample platform can clamp samples without damaging the samples, the two-dimensional free moving system drives the multifunctional sample platform to make motion, the digital photography system can be adjusted with variable magnification and has high resolution, high magnifying power and long focus, and the computer is provided with an imaging acquiring and processing system and a fiber identifying and data statistic system. The device has the characteristics of no need of manufacturing the samples, no damage to the samples in the detecting process, automatic damage-free detection for the sample, suitability for identification and content calculation of fiber in fibers, yarns, fabrics and other fiber aggregation, high detection speed, high degree of automation and convenient operation.

Description

technical field [0001] The invention relates to the field of fiber appearance observation and feature analysis, in particular to a detection device for non-destructive observation of textile surface microscopic features, in-situ identification of fibers in textiles and automatic analysis of content, which is suitable for fibers, yarns, fabrics and other fiber assemblies Qualitative and quantitative determination of the composition of textiles such as body, and timely, online, non-destructive, and rapid observation of the microscopic characteristics of the textile surface. Background technique [0002] Observation of fiber appearance and feature analysis are important contents of fiber characterization, and also the main way of fiber identification and identification. The appearance and morphological characteristics of fibers include length, fineness, change in fineness, cross-sectional shape, turning, bending, fiber surface characteristics and so on. At present, many method...

AI Technical Summary

Problems solved by technology

However, there is no technology to solve this problem at present. The main reason is that the surface characteristics of fiber aggregates are complex, and it is not easy to adjust focus and collect light. collection

At the same time, the target arrangement in the image is complex, and it is difficult to realize the simultaneous extraction, identification and data statistics of multiple targets through algorithms.

Moreover, the observation scale required for the identification of cashmere and wool fibers is very small. If it is necessary to realize the automation of the instrument and ensure a very high observation accuracy, it will be relatively difficult to implement.

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