Research On Characterization Of Fabric Moisture Absorption And Quick Drying Based On Segmentation Genetic Algorith

The ability of fabric to transfer liquid water affects its capacity to absorb moisture and dry quickly,ultimately impacting the overall comfort of clothing.During strenuous exercise,the sweat produced by human body needs to be quickly discharged,Therefore,there is a high requirement for the moisture absorption and quick-drying performance of textiles.In this paper,the transmission process of liquid water on fabric surface is recorded by machine vision,and the transmission behavior is analyzed by image processing technology,and the accurate measurement algorithm of the geometric characteristics of the transmission domain is proposed,which provides a new solution for the accurate measurement of image processing technology.First of all,this paper takes the liquid water transport process in the fabric as the research object,and focuses on the evolution process and geometric feature change of the liquid water transport domain.Using the droplet method,build an image acquisition device and develop a textile moisture absorption and quick-drying process detection system.The system controls an industrial camera to capture images of the liquid water transport domain in the fabric.The images are optimized using image preprocessing techniques.Secondly,genetic algorithm and Otsu algorithm are studied in depth,including the basic concept,principle and method of the algorithm.Through the research,the characteristics of these two algorithms are deeply understood.The image of liquid water transmission in fabric is characterized by time variation and edge complexity,which poses challenges in determining the most appropriate threshold for image segmentation,resulting in a significant impact on the extraction of its morphological features.In this paper,a segmentation genetic algorithm is proposed to effectively extract images of liquid water transmission domain in fabric by combining genetic algorithm and Otsu algorithm.This algorithm uses the fitness function of genetic algorithm and Otsu algorithm to match the optimal segmentation threshold of liquid water transmission domain and background region in different fabrics.Furthermore,this paper also provides an in-depth discussion on the effectiveness of the segmentation genetic algorithm,as well as the impact of population size and iteration times.Finally,drip diffusion test and water evaporation test were carried out on 12 fabric samples to evaluate their moisture absorption and quick drying performance.The drip diffusion test is used to test the hygroscopic property of the fabric,and the water evaporation test is used to test the fast drying property of the fabric.The morphological characteristics of liquid water transport domain in fabric were extracted by segmentation genetic algorithm.Investigating the correlation between the spatial features of the transmission domain and the construction parameters of the fabric,the area of the liquid water transport domain in the fabric was measured,and the area time-varying curve was drawn based on the area of the liquid water transport domain.Based on measurement data,using multiple regression analysis to investigate the factors affecting the moisture absorption and fast-drying performance of fabrics,the effectiveness of the method was demonstrated.