Cotton and Bast Fiber Image Segmentation Based on Mathematical Morphology

Traditional cotton and bast fiber detection using artificial methods. Image processing techniques have been applied to the fiber detection and improve the automation and recognition efficiency of the detection. Image segmentation is the basic one of the steps for fiber identification. This paper usi...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 303-306; pp. 1590 - 1594
Main Authors Lin, Zu Zheng, Zhou, Sheng Fei, Zhang, Ying
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.02.2013
Subjects
Fiber Detection
Image Segmentation
Mathematical Morphology
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Summary:Traditional cotton and bast fiber detection using artificial methods. Image processing techniques have been applied to the fiber detection and improve the automation and recognition efficiency of the detection. Image segmentation is the basic one of the steps for fiber identification. This paper using gradient edge detection method to segment the cotton and bast fiber longitudinal morphological image, and using morphological reconstruction operation method to the cross sectional fiber image. Both two kinds of images can be segmented by mathematical morphology method.
Bibliography:Selected papers from the 2012 International Conference on Sensors, Measurement and Intelligent Materials (ICSMIM 2012), December 26-27, 2012, Guilin, China
ISBN:3037856521
9783037856529
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.303-306.1590