Determination of maturities degree on the base of SEM images cotton fracture with elements of fuzzy sets theory

• Autorzy: Sarna E. , Włochowicz A. , Sarna M.
• Języki publikacji: EN

Abstrakty

EN

Purpose: The goal of presented research is to establish a better method for determination of the cotton maturity degree. Methodology: For imaging of the cotton fracture Scanning Electron Microscopy is used. For classification of the cotton fracture elements of Fuzzy Sets theory is applied. Findings: A method of maturity determination based on SEM images and elements of fuzzy sets theory is proposed. The presented method appeared to be more precise than the maturity reference standard method. Research implication: Method of the analysis of SEM images with fuzzy sets enables to perform a quantitative analysis of the cotton fractures images. This method will be improved with a computer method. Practical implications: An effective method for measurement of cotton fibres maturity is developed. Originality: Classification of images of cotton fracture, identification of images with fuzzy set theory conception.

Słowa kluczowe

EN

material; fracture; cotton; fuzzy relation

PL

materiał; przełom; bawełna; zależność rozmyta

• Wydawca: Komitet Nauki o Materiałach PAN
• Czasopismo: Archives of Materials Science
• Rocznik: 2007
• Tom: Vol. 28, nr 1-4
• Strony: 124--130
• Opis fizyczny: Bibliogr. 15 poz., rys., tabl.

Twórcy

autor

Sarna E.

autor

Włochowicz A.

autor

Sarna M.

• Institute of Textile Engineering and Polymer Materials University of Bielsko-Biała, ul. Willowa 2, 43-309 Bielsko-Biala, Poland,

Bibliografia

• [1] M. Matusiak, Forecast quality cotton yarns on the base of metrology characterize raw materials, Thessis, The Institute of Architeture Textiles, Lodz, 2002.
• [2] E. Sarna, The influence of the spinning systems on the supermolecular structure and physical properties of cotton, University of Bielsko-Biala, 2004.
• [3] Polish Norm PN-P-04675-04:1988, Methods of investigation of textile raw materials. Cotton.
• [4] R.R. Yager, P.F. Dimitar, Essentials of fuzzy modeling and control, John Wiley & Sons, 1995.
• [5] D. Dubois, H. Prade, Fuzzy Sets and Systems, Academic Press, New York-London-Toronto-Sydney-San Francisco, 1980.
• [6] E. Sarna, A. Włochowicz, M. Sarna; Application of notions and methods of fuzzy sets theory to analysis of microstructure of cotton fracture, Fibres & Textiles in Eastern Europe 5 (2006) 88-91.
• [7] L.A. Zadeh, Fuzzy sets, Information and Control 8/3 (1965) 338-353.
• [8] M. Sarna, Fuzzy relation on fuzzy and non-fuzzy members – fast computation formulas; Fuzzy Sets and Systems 29 (1998) 155-163.
• [9] M. Sarna; Fuzzy relation on fuzzy and non-fuzzy members – fast computation formulas Part II, Fuzzy Sets and Systems 93/1 (1998) 63-74.
• [10] A. Kaufmann, Introduction to the Theory of Fuzzy Subsets, Academic Press, New York, 1975.
• [11] D. Dubois, H. Prade Operations of fuzzy numbers. International Journal of Systems Science. 9/6 (1978) 613-626.
• [12] J. W. S. Hearle; Atlas of Fibre fracture and Damage to Textiles, Woodhead Publishing Ltd., Suffolk, 1998.
• [13] I. Krucińska, Application of computer image analysis to assessment structure fleece textiles, PAN, Lodz, 2000.
• [14] E. Sarna, A. Włochowicz, M. Sarna, Relationship beetwen maturity degree and shape of fibre fracture of cotton in fuzzy sets theory approach, Focus on Microscopy 2005, Friedrich Schiller University, Jena, 2005.
• [15] E. Sarna, M. Rabiej, M. Sarna; Analysis of cotton maturity degree on microstructure level by fuzzy sets conception, Fibres&Textiles in Easter Europe (in Print).