Crimp is one of the most important aspects of fiber geometry. Image analysis provides a means for quantifying crimp morphology in an efficient and reliable manner. This study presents a protocol for the automated analysis of two-dimensional crimp data. Preprocessing operations consist of histogram equalization, boundary definition with the use of image morphology, and boundary information storage by chain codes. Descriptors for characterizing and quantifying crimps are defined and algorithms for calculating these descriptors are developed. Preliminary results of a trial analysis indicate that these techniques may prove useful in the general application of crimp characterization and classification.
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References
1.
AlexanderE.LewinM.MuhsamH. V.ShilohM., Definition and Measurement of Crimp of Textile Fibers, Textile Res. J. 26 (8), 606–617 (1956).
2.
BossmannB., Fiber Image Analysis, Int. Fiber J. 9, 28–34 (1987).
3.
BrandR. H.KendeP., Measurement of Three-Dimensional Fiber Crimp, Textile Res. J. 40 (2), 169–177 (1970).
4.
BrandR. H.ScrubyR. E., Three-dimensional Geometry of Crimp, Textile Res. J. 43 (9), 544–554 (1973).
5.
BrighamE. O., “The Fast Fourier Transform and Its Applications,”Prentice Hall, Inc., 1988, pp. 89–117.
6.
DoughertyE. R.GiardinaC. R., “Image Processing—Continuous to Discrete,”vol. 1, Prentice-Hall, Inc., 1987, pp. 277–291.
7.
JainA. K., “Fundamentals of Digital Image Processing,”Prentice-Hall, Inc., 1989, pp. 370–381.
8.
SawyerL. C.ChexJ. C., Fiber Crimp Characterization by Image Analysis, Textile Res. J. 48 (4), 244–246 (1978).
9.
ShilohM.FuchsA.NetterZ., A Computer for the Evaluation of the Crimp Diameter of Textile Fibers, Textile Res. J. 34 (5), 430–434 (1964).
