Automatic Measurement of Garment Dimensions Using Machine Vision
In view of the existing situation of manual measurement of garment dimensions, machine vision has been used widely in automatic measurement of garment dimensions. In this paper, adaptive median filter algorithm is adopted to eliminate the garment image noise; a fast fuzzy edge-detection algorithm is used to detect the edge of garment image; and a new corner-detection algorithm based on Freeman code is invoked to locate the corner points. The experiment results show that the proposed method can successfully remove impulsive noise and non-impulsive noise from garment image, and can detect the edge and corners of garment image exactly, the measured dimensions approach to the actual ones. Furthermore, the method is simple, robust, and has fast processing speed.
component machine vision garment edgedetection corner-detection freeman code fuzzy
Li Cao Yi Jiang Mingfeng Jiang
The college of Electronics and Informatics Zhejiang Sci-Tech University, Hangzhou, China, 310018
国际会议
太原
英文
30-33
2010-10-22(万方平台首次上网日期,不代表论文的发表时间)