Image Based Shade Matching For Open Width Knit Fabric
The knitted sector is a vital part of Bangladesh's textile industry, contributing significantly to export revenue. However, it faces challenges due to frequent shade variations in knitted fabrics, resulting in material wastage and increased costs. Currently, there are no automatic shade variation methods available for knitted fabrics in the industry. The existing systems have limitations in terms of speed and color matching. To address these challenges, our study introduces an automatic shade matching system for knitted fabrics that utilizes image similarity metrics. The system compares a dry sample with a reference image to identify the best color match, and then determines the corresponding wet sample. Through experimental results, we have demonstrated that the proposed system accurately and consistently matches colors in open-width knit fabric dyeing processes. This technology has the potential to reduce material wastage, costs, and time in the knitted sector of the textile industry.
No comments:
Post a Comment