Research on Application of Image Recognition in Detecting Wool and Cashmere Fibers
According to the characteristics of Spatial Periodicity of fibers, wool and cashmere can be identified automatically by digital image processing technology. Fiber images were collected by Image acquisition devices and saved in computer. Then, fiber information like diameter, surface scale height and scale thickness was extracted by Image processing algorithms to analyze and detect the fibers. Results show false rate of detection decreases much when probability multiplication applied.
Wool Cashmere Image recognition Fiber diameter Scale height Scale thickness Probability multiplication
Yiping Ji Rui Wang Yunhui Yang
School of Textiles,Tianjin Polytechnic University,Tianjin, P.R. China School of Computer Science and Software Engineering,Tianjin Polytechnic University Tianjin, P.R. Chi
国际会议
2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)
上海
英文
93-96
2010-12-25(万方平台首次上网日期,不代表论文的发表时间)