Evaluation of residual bagging volume using 3D image analysis technique

Abstract

This work deals with the evaluation of the residual bagged fabric volumes using image analysis technique. Indeed, image processing method was applied and compared for denim bagged woven samples. Hence, seven different denim fabrics are evaluated and investigated in order to measure their residual bagging volumes. Different inputs characterizing denim garment specimens are also tested to analyze and evaluate their effects on the bagging volume values. To extract and evaluate residual bagging volume, overall captured images of bagged fabrics based on 3D analysis of intensity images were processed and analyzed. Regarding the findings obtained, the image analysis technique offers good results and helps, in 3D distribution, to evaluate objectively the residual bagging volume of denim samples. Besides, referring to the results, the residual volume which affects negatively bagging appearance can be improved when some influential inputs are widely studied and controlled. Furthermore, based on the influential input parameters contributions, it may be concluded that an increase of weft yarns density (pick/cm) increases the residual bagging volume of denim fabrics. However, when the energy of compression increased, the residual bagging volume decreased. All results given by image analysis method are improved using the regression method and principal component analysis technique.