Cotton and Bast Fiber Image Segmentation Based on Mathematical Morphology

Ying Zhang; Sheng Fei Zhou; Zu Zheng Lin

doi:10.4028/www.scientific.net/AMM.303-306.1590

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 303-306Cotton and Bast Fiber Image Segmentation Based on...

Cotton and Bast Fiber Image Segmentation Based on Mathematical Morphology

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 303-306)

Pages:

1590-1594

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.303-306.1590

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Online since:

February 2013

Authors:

Ying Zhang, Sheng Fei Zhou, Zu Zheng Lin

Keywords:

Fiber Detection, Image Segmentation, Mathematical Morphology

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References

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