Skip to main content

Colour Image Processing Techniques

  • Chapter
  • 445 Accesses

Abstract

With rapid advancements in computer technology, colour image processing systems are now available at affordable prices. A proper understanding of the colour image processing techniques requires an understanding of the various models for colour representation. Apart from this, one needs to know the spectral response of the colour camera and the light source. The type of colour image processing hardware used for transmission or reflection photoelastic analysis has an influence on the quality of data acquisition. Data interpretation and analysis requires the understanding of the intensity of light transmitted, for various polariscope arrangements, in white light

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Redner AS (1985) Photoelastic measurements by means of computer-assisted spectral content analysis. Exp Mech 25(2): 148–153

    Article  Google Scholar 

  2. Sanford RJ, Iyengar V (1985) The measurement of the complete photoelastic fringe order using a spectral scanner. Proc SEM Spring Conference on Experimental Mechanics: 160-168

    Google Scholar 

  3. Sanford RJ (1986) On the range and accuracy of spectrally scanned white light photoelasticity. Proc SEM Spring Conference on Experimental Mechanics:901-908

    Google Scholar 

  4. Voloshin AS, Redner AS (1989) Automated measurement of birefringence: development and experimental evaluation of the techniques. Exp Mech 29(3):252–257

    Article  Google Scholar 

  5. Haake SJ, Patterson EA (1992) Photoelastic analysis of frozen stressed specimens using spectral-content analysis. Exp Mech 32(3):266–272

    Article  Google Scholar 

  6. Haake SJ, Patterson EA (1995) Photoelastic analysis using automated polariscopes. Proc of the Int conference on Mechanics of Solids and Materials Engineering (MSME 95) Singapore:884–888

    Google Scholar 

  7. Haake SJ, Patterson EA (1995) Photoelastic analysis using a full field spectral contents analyser. Proc of SEM Conference on Experimental Mechanics, Michigan:342–345

    Google Scholar 

  8. Kihara T (1994) Automatic whole field measurement of principal stress directions using three wavelengths. Proc of X Int conference on Experimental Mechanics, Lisban 1:95–99

    Google Scholar 

  9. Buckberry C, Towers D (1996) New approaches to the full-field analysis of photoelastic stress patterns. Optics and Lasers in Engng 24:415–428

    Article  Google Scholar 

  10. Nurse AD (1997) Full-field automated photoelasticity using a three-wavelength approach to phase shifting. Appl Optics 36:5781–5786

    Article  Google Scholar 

  11. Ajovalasit A, Barone S, Petrucci G (1995) Towards RGB photoelasticity: fullfield automated photoelasticity in white light. Exp Mech 35(3): 193–200

    Article  Google Scholar 

  12. Ajovalasit A, Barone S, Petrucci G (1995) Automated photoelasticity in white light: influence of quarter-wave plates. J Strain Analysis for Engng Des 30:29–34

    Article  Google Scholar 

  13. Ramesh K, Deshmukh SS (1996) Three fringe photoelasticity - use of colour image processing hardware to automate ordering of isochromatics. Strain 32(3):79–86

    Article  Google Scholar 

  14. Hoy DEP, Yu F (1996) Fuzzy logic approach for analysis of white light isochromatic fringes. Post conference Proc of SEM VIII Int Cong:279-284

    Google Scholar 

  15. Ramesh K, Deshmukh SS (1997) Automation of white light photoelasticity by phase shifting technique using colour image processing hardware. Optics and Lasers in Engng 28(l):47-60 Also in: Chen TY (ed) (1999) Selected papers on photoelasticity. SPIE Milestone Series, Vol MS 158, pp 290-303

    Google Scholar 

  16. Ramesh K, Mangal SK (1997) Automation of data acquisition in reflection photoelasticity by phase shifting methodology. Strain 33:95–100

    Article  Google Scholar 

  17. Petrucci G (1997) Full-field automatic evaluation of an isoclinic parameter in white light. Exp Mech 37(4):420–426

    Article  Google Scholar 

  18. Yoneyama S, Shimizu M, Gotoh J, Takashi M (1998) Photoelastic analysis with a single tricolour image. Optics and Lasers in Engng 29:423–435

    Article  Google Scholar 

  19. Kihara T (1998) A study of automatic whole field measurement of photoelasticity using three wavelengths with a colour camera. Proc of XI Int Conference on Experimental Mechanics, University of Oxford, UK:515–519

    Google Scholar 

  20. Gonzalez RC, Woods RE (1993) Digital image Processing. Addison-Wesley Publishing Co, California

    Google Scholar 

  21. Young T (1802) On the theory of light and colours. Phil Trans Royal Soc London 92:20–71

    Google Scholar 

  22. Hoist GC (1996) CCD arrays, cameras and displays. SPIE Optical Engineering Press, Bellingham, Washington

    Google Scholar 

  23. TMC-76 colour camera. PULNiX Brochure

    Google Scholar 

  24. Ji W, Patterson EA (1998) Simulation of error in automated photoelasticity. Exp Mech 38(2): 132–39

    Article  Google Scholar 

  25. Srinath LS, Sarma AVSSSR (1973) Determination of Integral fringe orders in photoelasticity. Exp Mech 13(3): 138–141

    Article  Google Scholar 

  26. Barone S, Petrucci G (1994) Automated photoelasticity in white light: application to birefringent coatings. Proc of XIII Imeko world congress, Torino 3:1829–1834

    Google Scholar 

  27. Ajovalasit A, Barone S, Petrucci G (1998) A review of automated methods for the collection and analysis of photoelastic data. J Strain Analysis for Engng Des 33(2):75–91

    Article  Google Scholar 

  28. Mangal SK, Ramesh K (1997) Automation of evaluation of stress field parameters in fracture mechanics by reflection photoelasticity using phaseshifting technique. Proc of II conference on Engng Applications of Solid Mechnaics IGCAR, Kalpakkam:l 1–12

    Google Scholar 

  29. Marwitz, Kzler, Schuster (1990) Improved efficiency in photoelastic coatings. Fast detection of fringe orders using computer controlled spectrometry. Proc of IX Int Conference on Experimental Mechanics, Copenhagen 2:828-838

    Google Scholar 

  30. Carazo-Alvarez J, Haake SJ, Patterson EA (1994) Completely automated photoelastic fringe analysis. Optics and Lasers in Engng 21:133–149

    Article  Google Scholar 

  31. Ramesh K, Mangal SK (1998) Data acquisition techniques in digital photoelasticity: a review. Optics and lasers in Engng 30:53–75 Errata (1999) 31:85

    Article  Google Scholar 

  32. Sanford RJ, McGinnis A (1990) Automatic birefringence measurement for inspection and quality control. Proc of 36th Int Instrumentation Symposium:799-809

    Google Scholar 

  33. Sanford RJ, McGinnis (1991) A New method for measuring low birefringence using a spectral scanner. Proc of 37th Int Instrumentation Symposium, San Diego 1029–1041

    Google Scholar 

  34. Ivanova L, Nechev G (1990) A general method for investigation of the residual stresses in glasses with spectral polariscope. Proc of IX Int Conference on Experimental Mechanics 2:876–883

    Google Scholar 

  35. Hecker FW, Morche B (1986) Computer-aided measurement of relative retardations in plane photoelasticity. In: Wieringa H (ed)Experimental stress analysis. Martinus Nijhoff, Dordrecht, The Netherlands, pp 535–542

    Google Scholar 

  36. Patterson EA, Wang ZF (1998) Simultaneous observation of phase-stepped images for automated photoelasticity. J Strain analysis for Engng Des 33(1): 1–15

    Article  Google Scholar 

  37. Hariharan P (1996) Achromatic and apochromatic half-wave and quarter-wave retarders. Opt Engng 35(11):3335–3337

    Article  Google Scholar 

  38. Yoneyama S, Ayame D, Gotoh J, Takashi M (1997) Photoviscoelastic stress and strain analysis around a surface groove under rolling contact load. JSME Int J Sc A40: 44–50

    Google Scholar 

  39. Yoneyama S, Shimizu M, Takashi M (1998) Higher retardation analysis in automated white light photoelasticity. Proc of XI Int Conference on Experimental Mechanics University of Oxford, UK:527–532

    Google Scholar 

  40. Ramesh K, Sreedhar D (1998) Optically enhanced tiling (OET) in digital fringe pattern analysis. Strain 34(4): 127–131

    Article  Google Scholar 

  41. Hoy DEP (1998) A colour scanner as a digital recording polariscope. Exp Tech 22:26–27

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Ramesh, K. (2000). Colour Image Processing Techniques. In: Ramesh, K. (eds) Digital Photoelasticity. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59723-7_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-59723-7_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-64099-5

  • Online ISBN: 978-3-642-59723-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics