DocumentCode
323364
Title
Neural network based computer leather matching system
Author
Min, Cai ; Liqun, Han
Author_Institution
Dept. of Autom. Eng., Beijing Inst. of Light Ind., China
Volume
1
fYear
1997
fDate
28-31 Oct 1997
Firstpage
377
Abstract
The structure and design of a neural network-based computerized leather matching system are introduced. Measurements for stable conditions of taking pictures, drawing and selecting of color and texture characteristics, and two self-organizing map (SOM)-based leather clustering methods are discussed. More than 84% of the online leather clustering results using the system are consistent with the results of manual matching
Keywords
automatic optical inspection; colour photography; image colour analysis; image matching; materials; online operation; production engineering computing; self-organising feature maps; texture; color characteristics selection; drawing; neural network-based computerized leather matching system; online leather clustering; photography; self-organizing feature map; stable conditions; texture characteristics selection; Belts; Cameras; Charge coupled devices; Charge-coupled image sensors; Clothing; Computer networks; Decoding; Neural networks; Prototypes; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4253-4
Type
conf
DOI
10.1109/ICIPS.1997.672804
Filename
672804
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