Title: The development of a fabric retrieval system: using a similarity modelling approach

Authors: M.D. Shieh, C.C. Cheng, Y.N. Sun

Addresses: Department of Industrial Design, National Cheng Kung University, 1 University Road, Tainan, 701 Taiwan, ROC. ' Amtek SYSTEM CO., LTD., Taipei, ROC. ' Department of Computer Science and Information Engineering, National Cheng Kung University, 1 University Road, Tainan, 701 Taiwan, ROC

Abstract: A fabric retrieval system, trained by the Back-Propagation Network (BPN), has been implemented. The new implementation of the retrieval system focuses primarily on the similarity in judgement of a human being|s Kansei for fabric images. The colour composition information is quantised and used to index the colour features of each fabric image. The colour features and the corresponding Kansei features are trained using a Neural Network (NN) model. The new similarity modelling approach, which integrates colour features and a human being|s perception features into a NN training model, can be further extended to costume fashion design, product styling design, etc.

Keywords: fabric retrieval; neural networks; ANNs; Kansei; colour features; similarity modelling; human perception; costume fashion; fashion design; product styling; product design; fabric design; textile design; content-based retrieval; fabric images.

DOI: 10.1504/IJSPM.2007.016312

International Journal of Simulation and Process Modelling, 2007 Vol.3 No.4, pp.219 - 228

Published online: 16 Dec 2007 *

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