Fabric Fault Detection using Image Processing Method

Abstract: Quality control is an important feature in textile industry. In textile industry, fabric pre-processing is important to maintain quality of fabric. In modern world most of the fabric pre-processing is still carried out manually using human visual inspection. This process is costly, time consuming and needs more labour work. Therefore, automated fabric inspection is required to identify fault present in the fabric. The main objective of this project is to create real time automated fabric fault detection system which will reduce industrial cost by 15-16%. Proposed system will find out fault using the technique of segmentation.

Keywords: Gaussian Blur, Segmentation, Thresholding, HSV, Fabric fault.