Title :
Automatic measurement of garment dimensions using machine vision
Author :
Cao, Li ; Jiang, Yi ; Jiang, Mingfeng
Author_Institution :
Coll. of Electron. & Inf., Zhejiang Sci-Tech Univ., Hangzhou, China
Abstract :
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.
Keywords :
adaptive filters; clothing; clothing industry; computer vision; dimensions; edge detection; median filters; Freeman code; adaptive median filter algorithm; automatic measurement; corner-detection algorithm; fuzzy edge-detection algorithm; garment dimensions; garment image noise elimination; machine vision; nonimpulsive noise; Adaptive filters; Clothing; Filtering algorithms; Image edge detection; Manganese; Noise; Pixel; Corner-detection; Edgedetection; Freeman code; Fuzzy; Garment; Machine Vision; component;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5623093