Application of digital image magnification for surface roughness evaluation using machine vision

International Journal of Machine Tools and Manufacture

Volumn 45, Issue 2, 2005, Pages 228-234

  Kumar, Rajneesh ^a   Kulashekar, P ^a   Dhanasekar, B ^a   Ramamoorthy, B ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

Cubic convolution; Grey level average; Magnification factor; Regression analysis

Indexed keywords

ALGORITHMS; COMPUTER VISION; CORRELATION METHODS; FIBER OPTICS; FOURIER TRANSFORMS; INTERPOLATION; QUALITY CONTROL; REGRESSION ANALYSIS; SENSORS; SURFACE ROUGHNESS;

CUBIC CONVOLUTION; GREY LEVEL AVERAGE; MAGNIFICATION FACTORS; PROCESS MONITORING;

IMAGE PROCESSING;

EID: 8344233309     PISSN: 08906955     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijmachtools.2004.07.001     Document Type: Article

References (18)

1. J F. Luk, V. Hyunh, W. North, Measurement of surface roughness by a machine vision system, Journal of Physics E, Scientific Instruments 22 (1989) 977-980.
2. G.A. Al-kindi, R.M. Baul, K.F. Gill, An application of machine vision in the automated inspection of engineering surfaces, International Journal of Production Research 2 (1992) 241-253.
3. D.-M. Tsai, C.-F. Tseng, Surface roughness classification for castings, Pattern Recognition 32 (1999) 389-405.
4. D.G. Jason, J.M. Rourke, A.C. Bell, High-speed surface roughness measurement, Transactions of ASME 34 (106) (1984) 34-39.
5. C. Bradley, J. Bohlmann, S. Kurada, A fiber optic sensor for surface roughness measurement, Journal of Manufacturing science and Engineering 120 (1998) 359-367.
6. H. Sato, M.O. Hori, Surface roughness measurement by scanning electron microscope, Annals of CIRP 31 (1982) 457-462.
7. M. Bjuggren, L. Krummenacher, L. Mattsson, Non contact surface roughness measurement of engineering surface by total integrated infrared scattering, Precision Engineering 20 (1997) 33-45.
8. M. Hasewaga, K. Okuda, J.C. Liu, M. Nunobiki, A new approach to modeling machined surface profiles, Proceedings: Institute of Mechanical Engineering 240 (1996) 177-182.
9. K. Carneiro, C.P. Jensen, J.F. Jorgensen, J. Garnoes, Roughness parameters of surfaces by atomic force microscopy, Annals of CIRP 44 (1995) 517-522.
10. B. Ramamoorthy, V. Radhakrishnan, Statistical approaches to surface texture classification, International Journal of Wear 167 (1993) 155-161.
11. M. Kiran, B. Ramamoorthy, V. Radhakrishnan, Evaluation of surface roughness by vision system, International Journal for Machine Tools and Manufacture 38 (1998) 685-690.
12. A. Kartik, S. Chandra, B. Ramamoorthy, S. Das, 3D tool wear measurement and visualization using stereo imaging, International Journal for Machine Tools and Manufacture 37 (1997) 1573-1581.
13. R.G. Keys, Cubic convolution interpolation for digital image processing, IEEE Transactions of ASSP 29 (6) (1981) 1153-1160.
14. J. Allebach, P.W. Wong, Edge-directed interpolation, School of Electrical and Computer Engineering, Purdue University, West Lajayette, IN 47907-1285, workdone at Hewlett Packett, CA.
15. J. Allebach, P.W. Wong, Edge-directed interpolation, Proceedings of the ICIP-96, vol. III, IEEE Press, Lausnne, CH, 1996, pp. 707-710.
16. K. Jensen, D. Anastassiou, Subpixel edge localization and interpolation of still images, IEEE Transactions on Image Processing 4 (1995) 285-295.
17. A. Biancardi, L. Cinque, L. Lombardi, Improvements to image magnification, Pattern Recognition 35 (2002) 677-687.
18. A. Majumdar, B. Bhushan, Role of fractal geometry in roughness characterization and contact mechanics of surfaces, ASME Journal of Tribology 112 (1990) 205-216.