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Computer Aided Length Estimation of Coconut Fibre


Affiliations
1 Department of Cartography, Photogrammetry, Remote Sensing & GIS, Sabaragamuwa University of Sri Lanka
2 Department of Electrical & Electronic Engineering. University of Peradeniya, Sri Lanka
 

The length of coconut fibre is the main key factor considered for export market. Naturally fibres exits as cross and curve fibres which creates difficulties in taking length measurements. Further, existing methods consume more time. The main objective of this study is to develop an automatic system, which is capable of estimating the length of coconut fibre efficiently and accurately. The system is developed based on image processing techniques. Image taken from a webcam is processed first, and then the processed image is scanned pixel by pixel from the starting point to the end point of fibre. Scanned pixels are stored in an array. The procedure is repeatedly applied for all fibres in the image. Finally the average fibre length is computed through the system and in the testing process, these values were compared with real lengths. The system was tested with single fibres, multiple fibres, and multiple fibres cross one another. Test result indicated that the system functions effectively and reliably.

Keywords

Coconut Fibre, Image Processing, Automatic System, Length Measurement
User

  • Arroyo M and Avalos F (1989) Polypropylene/low density polyethylene blend matrices and short glass fibers based composites. I. mechanical degradation of fibers as a function of processing method. Polymer Composites. 10(2), 117–121.
  • Annual Report (2006) Central Bank of Sri Lanka.
  • Chin W, Liu H and Lee Y (1988) Effects of fiber length and orientation distribution on the elastic modulus of short fiber reinforced thermoplastics. Polymer Composites. 9(1), 27-35.
  • Fischer G and Eyerer P (1988) Measuring spatial orientation of short fiber reinforced thermoplastics by image analysis. Polymer Composites. 9(4), 297–304.
  • Jules EJ, Tsujikami T, Lomov SV and Verpoest I (2004) Effect of fibers length and fibers orientation on the predicted elastic properties of long fibre composites. Retrieved July 24, 2010, from http://sirius.mtm.kuleuven.be/Research/C2/poly/New WWW/research/downloads/sl_modelling_micromech_ random_fibres_paper.pdf.
  • Kima JW and Lee DG (2007) Measurement of fiber orientation angle in FRP by intensity method. J. Materials Processing Tech. 201(1-3), 755-760.
  • Nguyen BN, Bapanapalli SK, Holbery JD, Smith MT, Kunc V, Frame BJ, Phelps JH and III CLT (2008) Fiber length and orientation in long-fiber injectionmolded thermoplastics-Part I: Modeling of microstructure and elastic properties. J. Composite Materials. 42(10), 1003-1029.
  • Richard SD (1986) Fiber length measurement systems: A review and modification of an existing method. J. Wood & Fiber Sci. 18(2), 276-287.
  • Zak G, Haberer M, Park CB and Benhabis B (2000a) Estimating of average fibre length in short-fibre composites by a two-section method. Composites Sci. & Tech. 60(9), 1763-1772.
  • Zak G, Haberer M, Park CB and Benhabib B (2000b) Mechanical properties of short-fibre layered composites: prediction and experiment. Rapid Prototyping J. 6(2), 107–118.

Abstract Views: 361

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  • Computer Aided Length Estimation of Coconut Fibre

Abstract Views: 361  |  PDF Views: 92

Authors

A. C. P. K. Siriwardhana
Department of Cartography, Photogrammetry, Remote Sensing & GIS, Sabaragamuwa University of Sri Lanka
J. V. Wijayakulasooriya
Department of Electrical & Electronic Engineering. University of Peradeniya, Sri Lanka

Abstract


The length of coconut fibre is the main key factor considered for export market. Naturally fibres exits as cross and curve fibres which creates difficulties in taking length measurements. Further, existing methods consume more time. The main objective of this study is to develop an automatic system, which is capable of estimating the length of coconut fibre efficiently and accurately. The system is developed based on image processing techniques. Image taken from a webcam is processed first, and then the processed image is scanned pixel by pixel from the starting point to the end point of fibre. Scanned pixels are stored in an array. The procedure is repeatedly applied for all fibres in the image. Finally the average fibre length is computed through the system and in the testing process, these values were compared with real lengths. The system was tested with single fibres, multiple fibres, and multiple fibres cross one another. Test result indicated that the system functions effectively and reliably.

Keywords


Coconut Fibre, Image Processing, Automatic System, Length Measurement

References





DOI: https://doi.org/10.17485/ijst%2F2011%2Fv4i9%2F30227