Fabric analysis system and method based on biaxial mechanical stretch processing

Abstract

The invention provides a fabric analysis system and method based on biaxial mechanical stretch processing. The fabric analysis system comprises a lighting device, an optical observation imaging system, a signal acquisition control system, a fabric image analysis module and a computer and is characterized in that a biaxial mechanical stretching device is used for performing biaxial mechanical stretching on a fabric sample, so that tissue structures of the fabric sample are clear; the lighting device is used for lighting the fabric sample; the optical observation imaging system is used for photographing an image of the fabric sample; the image is input into the computer through the signal acquisition control system; the signal acquisition control system is used for acquiring and controlling the image of the fabric sample and a signal; the fabric image analysis module is used for performing tissue point region identification, tissue type analysis, dyed yarn arrangement analysis, counting of weft and warp density and proportional recovery calculation on the image of the fabric sample to obtain a total fabric analysis result. The fabric analysis system is convenient for measurement and identification of tissue types, yarn colors and weft and warp densities of fabrics comprising complicated fabrics and can improve the automation degree and the precision of fabric analysis.

Description

technical field [0001] The invention belongs to the technical field of textile testing and analysis, relates to the analysis of textile fabrics, and is mainly used for observing and recording the organizational structure of fabrics, specifically a fabric analysis system for biaxial mechanical stretching treatment. Background technique [0002] Fabric analysis is the basic element to determine the structure, design and processing of fabrics, and it is also an important basis for controlling the quality of fabrics. Fabric analysis mainly covers the following aspects: [0003] 1. The texture structure of the fabric, that is, the interweaving law of warp and weft yarns, usually includes: the interweaving type of warp and weft yarns, weave points, weave cycles, yarn cycle numbers and weave point flying numbers; [0004] 2. Fabric density, that is, the number of warp and weft yarns per unit length; [0005] 3. The color of yarn-dyed fabric and the law of dyed yarn cycle; [000...

AI Technical Summary

Problems solved by technology

However, the fabric analysis system with a high degree of automation involves mostly the study of the original tissue structure or fabric samples with clear tissue structure images, and has not yet solved most of the fabric analysis problems. Clear and orderly, it is relatively easy to design image algorithms to accurately analyze the yarn interweaving pattern that constitutes the fabric structure

However, the type of organization, compactness, and finishing of complex fabrics may cause the yarn to be affected by extrusion, stretching, friction, twisting, and curling in the fabric. The apparent structural texture of the fabric interwoven by yarns is blurred or Chaos, such as the distortion of the fabric, the tight structure, the fleece treatment of the fabric, etc., the disordered or unclear image features that reflect the structure of the fabric are very prominent. Even if the complex image algorithm is designed, it is difficult to allow the structural texture to be recognized from the image.

Therefore, computer vision and image analysis techniques have not received satisfactory results in the field of fabric analysis

Images