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Technological sheet region recognition of garment piece on sweater CAD
In this paper, a new computer pattern recognition method based on fuzzy cluster theory is presented. Firstly, node of piece figure date structure is found using “directional judgment method”. The random pieces are classified to garment pieces, sleeve pieces, trousers pieces and so on using fuzzy theory, thus the pieces of sweater have an appropriate classifying to fit calculation of technological sheet. We also put forward knot mapping method which can divide a sweater piece into many of symmetry region which is named to Technological Sheet Calculating Region (TSCR), computer system can confirm final TSRCs according precision requirement of technological sheet. Finally, technological sheet of TSRCs which is recognized by computer is calculated by dimension of top and bottom border. Application of sweater CAD demonstrates this method can calculate rapidly the technological sheet of sweater pieces.
Technological sheet region recognition of garment piece on sweater CAD
In this paper, a new computer pattern recognition method based on fuzzy cluster theory is presented. Firstly, node of piece figure date structure is found using “directional judgment method”. The random pieces are classified to garment pieces, sleeve pieces, trousers pieces and so on using fuzzy theory, thus the pieces of sweater have an appropriate classifying to fit calculation of technological sheet. We also put forward knot mapping method which can divide a sweater piece into many of symmetry region which is named to Technological Sheet Calculating Region (TSCR), computer system can confirm final TSRCs according precision requirement of technological sheet. Finally, technological sheet of TSRCs which is recognized by computer is calculated by dimension of top and bottom border. Application of sweater CAD demonstrates this method can calculate rapidly the technological sheet of sweater pieces.
Technological sheet region recognition of garment piece on sweater CAD
Xiuchen Wang, (author) / Luoyan Hu, (author)
2008-11-01
1086245 byte
Conference paper
Electronic Resource
English
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