DocumentCode
2872191
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
Volume
9
fYear
2010
fDate
22-24 Oct. 2010
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCASM.2010.5623093
Filename
5623093
Link To Document