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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 51, Iss. 16 — Jun. 1, 2012
  • pp: 3439–3444

Edge enhancement of color images using a digital micromirror device

J. Matías Di Martino, Jorge L. Flores, Gastón A. Ayubi, Julia R. Alonso, Ariel Fernández, and José A. Ferrari  »View Author Affiliations


Applied Optics, Vol. 51, Issue 16, pp. 3439-3444 (2012)
http://dx.doi.org/10.1364/AO.51.003439


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Abstract

A method for orientation-selective enhancement of edges in color images is proposed. The method utilizes the capacity of digital micromirror devices to generate a positive and a negative color replica of the image used as input. When both images are slightly displaced and imagined together, one obtains an image with enhanced edges. The proposed technique does not require a coherent light source or precise alignment. The proposed method could be potentially useful for processing large image sequences in real time. Validation experiments are presented.

© 2012 Optical Society of America

OCIS Codes
(100.1160) Image processing : Analog optical image processing
(100.2980) Image processing : Image enhancement

ToC Category:
Image Processing

History
Original Manuscript: October 7, 2011
Revised Manuscript: March 27, 2012
Manuscript Accepted: March 29, 2012
Published: May 31, 2012

Virtual Issues
June 28, 2012 Spotlight on Optics

Citation
J. Matías Di Martino, Jorge L. Flores, Gastón A. Ayubi, Julia R. Alonso, Ariel Fernández, and José A. Ferrari, "Edge enhancement of color images using a digital micromirror device," Appl. Opt. 51, 3439-3444 (2012)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-51-16-3439


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References

  1. A. Koschan and M. A. Abidi, Color Image Processing (Wiley, 2008).
  2. C. L. Novak and S. A. Shafer, “Color edge detection,” in Proceedings of DARPA Image Understanding Workshop 1987 (Morgan Kaufmann, 1998), Vol. 1, pp. 35–37.
  3. M. Hedley and H. Yan, “Segmentation of color images using spatial and color space information,” J. Electron. Imaging 1, 374–380 (1992). [CrossRef]
  4. T. Carron and P. Lambert, “Color edge detector using jointly hue, saturation and intensity,” in Proceedings of ICIP-94 (IEEE, 1994), pp. 977–981.
  5. P. Trahanias and A. N. Venetsanopoulos, “Color edge detection using vector statistics,” IEEE Trans. Image Process. 2, 259–264 (1993). [CrossRef]
  6. P. E. Trahanias and A. N. Venetsanopoulos, “Vector order statistics operators as color edge detectors,” IEEE Trans. Syst. Man Cybern. B 26, 135–143 (1996). [CrossRef]
  7. S.-Y. Zhu, K. N. Plataniotis, and A. N. Venetsanopoulos, “Comprehensive analysis of edge detection in color image processing,” Opt. Eng. 38, 612–625 (1999). [CrossRef]
  8. A. R. Weeks, C. E. Felix, and H. R. Myler, “Edge detection of color images using the HSL color space,” Proc. SPIE 2424, 291–301 (1995). [CrossRef]
  9. J. Fan, D.. K. Y. Yau, A. K. Elmagarmid, and W. G. Aref, “Automatic image segmentation by integrating color-edge extraction and seeded region growing,” IEEE Trans. Image Process. 10, 1454–1466 (2001). [CrossRef]
  10. R. D. Dony and S. Wesolkowski, “Edge detection on color images using RGB vector angle,” in Proceeding of IEEE Canadian Conference on Electrical and Computer Engineering (IEEE, 1999), pp. 687–692.
  11. S. Wesolkowski and E. Jernigan, “Color edge detection in RGB using jointly Euclidean distance and vector angle,” in Proceedings of Vision Interface ’99 (Canadian Image Processing and Pattern Recognition Society, 1999), pp. 9–16.
  12. J. A. Ferrari and J. L. Flores, “Nondirectional edge enhancement by contrast reverted low-pass Fourier filtering,” Appl. Opt. 49, 3291–3296 (2010). [CrossRef]
  13. J. A. Ferrari, J. L. Flores, and G. Garcia-Torales, “Directional edge enhancement using a liquid-crystal display,” Opt. Commun. 283, 2803–2806 (2010). [CrossRef]
  14. J. L. Flores and J. A. Ferrari, “Orientation-selective edge detection/enhancement using the irradiance transport equation,” Appl. Opt. 49, 619–624 (2010). [CrossRef]
  15. D. Dudley, W. M. Duncan, and J. Slaughter, “Emerging digital micromirror device (DMD) applications,” Proc. SPIE 4985, 14–25 (2003). [CrossRef]
  16. D. Malacara, Color Vision and Colorimetry: Theory and Applications (SPIE, 2001).
  17. http://arttattler.com/designcoldwarmodern.html (accessed 6 October 2011).
  18. http://lujosabarcelona.blogs.elle.es/files/2011/02/color-block.jpg (accessed 6 October 2011).
  19. http://www.youtube.com/watch?v=Q8vfl1rR40M (accessed 6 October 2011).
  20. N. Zhang, J. Wang, and Y. Chen, “Image parallel processing based on GPU,” in Proceedings of the 2nd International Conference on Advanced Computer Control (ICACC) (IEEE, 2010), pp. 367–370.
  21. C. Gentsos, C. L. Sotiropoulou, S. Nikolaidis, and N. Vassiliadis, “Real-time canny edge detection parallel implementation for FPGAs,” Proceedings of 2010 17th IEEE International Conference on Electronics, Circuits, and Systems (IEEE, 2010), pp. 499–502.
  22. C. Claus, R. Huitl, J. Rausch, and W. Stechele, “Optimizing the SUSAN corner detection algorithm for a high speed FPGA implementation,” in Proceedings of International Conference on Field Programmable Logic and Applications, 2009 (IEEE, 2009), pp. 138–145.
  23. Texas Instruments, “Using the DLP Pico 2.0 kit for structured light applications,” Application Report DLPA021 (1–18 January 2010).

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