Application of Geometric Method in Video Processing to Study the Tensile Properties of Spacer Fabric

knowledge of the physical properties of spacer fabrics is important, due to their vast applications in various industries. In all applications, the spacer fabric is affected by tension, which changes their size as well as their properties. The purpose of this paper is to use the video processing approach to investigate the tensile behavior of the spacer fabric, based on the geometrical and the experimental method. So, the study on the basic hexagonal unit deformation behaviors of spacer fabrics structure in different tensile strains, based on experimental observations and theoretical analysis using video processing, was investigated in the course and wale directions, respectively. First, the images were segmented based on the k-means clustering method and then the best image for processing was determined by the image quality evaluation index. Then, the distribution of changes in the dimensions of each unit, the size dependent properties and its change such as Poisson's ratio and the porosity changes were obtained using the method based on the geometry of the pore unit. The results of image processing were compared with the experimental method and the results showed that the video processing method is able to calculate and predict the Poisson's ratio in different tensile strains with a correlation coefficient of more than 83%