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Abstract

Based on the analysis of stripes on fiber surfaces, a new method for cotton and ramie fiber identification is introduced in this paper. The stripes of a fiber surface were extracted by segmentation, edge detection, and thinning, and then they were orthogonally projected along the curving skeleton of the fiber. In addition, six characteristic parameters for identification were obtained, and based on the method of maximum probability, equations for identification were established on the six probability distribution curves of the characteristic parameters. Finally, weight coefficients of the equations were obtained from self-adapting identification tests. The experiments showed that the overall tolerance for false identification of cotton or ramie fiber was under 7%.

Keywords

characteristic parameters equations for recognition orthogonal projection probability distribution curves self-adapting identification test stripes on fiber surfaces

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References

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