Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55795
Title: Interactive sketch design recognition system using evolutionary techniques
Authors: Mok, PY 
Wang, X
Xu, J
Fan, J
Kwok, YL
Xin, JH 
Keywords: Mathematical model
Self-twist spinning process
Self-twist yarn
Issue Date: 2014
Publisher: Emerald Group Publishing Limited
Source: Research journal of textile and apparel, 2014, v. 18, no. 1, p. 89-103 How to cite?
Journal: Research journal of textile and apparel 
Abstract: In this study, a methodology integrating a sketch design recognition approach with an interactive genetic algorithm is proposed to help laypersons get clothes reflecting their preferences. The sketch design recognition approach consists of a composite description model, a sketch recognition method and a database. First, a composite description model based on the knowledge of fashion design is developed to describe the characteristics of a skirt. Second, a sketch recognition method is used to help laypersons get satisfactory clothes. Third, a database in constructed to record general elements of skirts. Moreover, an interactive genetic algorithm (IGA) is used to accelerate the sketch recognition process. The experimental results demonstrate that the proposed method can 'recognize' users' preferred styles efficiently. The subjective evaluation has shown that the system can help general consumers without any fashion design or sketch training to create their own designs.
URI: http://hdl.handle.net/10397/55795
ISSN: 1560-6074
DOI: 10.1108/RJTA-18-01-2014-B011
Appears in Collections:Journal/Magazine Article

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