Segmentation of Viscose Filament Fracture Surface Image Based on SOFM Network Fusion

A method of viscose filament fracture surface image segmentation based on SOFM network fusion is proposed. Firstly, the binarization method based on two-way weighting sequential smooth is used to segment the two images which are obtained in different light intensity. Secondly, fuse the two binary im...

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Bibliographic Details
Published in2010 2nd International Conference on Information Engineering and Computer Science pp. 1 - 3
Main Authors Jiaquan Zhang, Yi Feng, Xiaolong Lin, Tieqiang Zhang, Weiyi Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
Subjects
Artificial neural networks
Entropy
Fuses
Image segmentation
Optical fiber networks
Pixel
Surface cracks
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Summary:A method of viscose filament fracture surface image segmentation based on SOFM network fusion is proposed. Firstly, the binarization method based on two-way weighting sequential smooth is used to segment the two images which are obtained in different light intensity. Secondly, fuse the two binary images based on SOFM fusion. After that, the final segmentation image is obtained. Using this method can record the information of viscose filament fracture surface accurately. The experimental results show that this method is much better when we can't get clear fiber images. At the same time, it provides a way to segment the ununiformity brightness images.
ISBN:1424479398
9781424479399
ISSN:2156-7379
DOI:10.1109/ICIECS.2010.5678395