Application of wavelet modulus maxima in microarray spots recognition

Article English OPEN
Wang, X. H.; Istepanian, R. S. H.; Yong, Hua Song;
(2003)
  • Publisher: Institute of Electrical and Electronics Engineers
  • Subject: biological

This paper presents a novel approach to recognize the microarray image spots. The approach is based on the detection of wavelet modulus maxima in the microarray images. The detected maxima is actually the contour of the spots and thus the spots are recognized precisely.... View more
  • References (8)

    [1] M. B. Eisen. ScanAlyze. [Online]. Available: http://rana.stanford.edu/software

    [2] GenePix 4000A User's Guide, 1999.

    [3] QuantArray Analysis Software, Operator's Manual, 1999.

    [4] S. Beucher and F. Meyer, “The morphological approach to segmentation: The watershed transformation,” in Mathematical Morphology in Image Processing, Vol. 34 of Optical Engineering. New York, NY: Marcel Dekker, 1993, pp. 433-481.

    [5] L. Vincent and P. Soille, “Watershed in digital space: An efficient algorithm based on immersion simulations,” IEEE Trans. Pattern Anal. Machine Intell., vol. 13, pp. 583-598, June 1991.

    [6] R. Adams and L. Bischof, “Seeded region growing,” IEEE Trans. Pattern Anal. Machine Intell., vol. 16, pp. 641-647, June 1994.

    [7] Y. H. Yang, M. J. Buckley, S. Dudoit, and T. P. Speed, “Comparison of methods for image analysis on cDNA microarray data,” J. Comput. Graph. Stat., vol. 11, pp. 108-136, 2002.

    [8] Y. Chen, E. R. Dougherty, and M. L. Bitterner, “Ratio-based decisions and the quantitative analysis of cDNA microarray images,” J. Biomed. Opt., vol. 2, pp. 364-374, 1997.

  • Metrics
Share - Bookmark