International Journal of Fuzzy Logic and Intelligent Systems

  • 제9권3호
  • /
  • Pages.172-177
  • /
  • 2009
  • /
  • 1598-2645(pISSN)
  • /
  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
권호 표지
DOI QR코드

DOI QR Code

Evolutionary Design of Morphology-Based Homomorphic Filter for Feature Enhancement of Medical Images

  • Hwang, Hee-Soo (School of Electrical Engineering, Halla University) ;
  • Oh, Jin-Sung (School of Electrical Engineering, Halla University)
  • 투고 : 2008.12.24
  • 심사 : 2009.09.05
  • 발행 : 2009.09.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this paper, a new morphology-based homomorphic filtering technique is presented to enhance features in medical images. The homomorphic filtering is performed based on the morphological sub-bands, in which an image is morphologically decomposed. An evolutionary design is carried to find an optimal gain and structuring element of each sub-band. As a search algorithm, Differential Evolution scheme is utilized. Simulations show that the proposed filter improves the contrast of the interest feature in medical images.

키워드

참고문헌

  1. A. Laine, J. Fan, and W. Yang, "Wavelets for contrast enhancement of digital mammography," IEEE Eng. Med. & Biol. Mag., vo. 145, pp. 536-550, 1995 https://doi.org/10.1109/51.464770
  2. J. H. Yoon, and Y. M. Y. M., "Enhancement of the contrast in mammographic images using the homomorphic filter method," IEICE Trans. Inf. & Syst., vol. 85-D, no. 1, pp. 298-303, 2002
  3. H. I. Ashiba, K. H. Awadallah, S. M. El-Halfway, and F. E. El-Samie, "Homomorphic enhancement of infrared images using the additive wavelet transform," Progress In Electromagnetics Research, vol. 1, pp. 123-130, 2008 https://doi.org/10.2528/PIERC08012301
  4. P. Maragos, "Morphological filtering for image enhancement and feature detection," in 'The Image and Video Processing Handbook', Elsevier Academic Press, pp. 135-156, 2005
  5. N. Harvey, and S. Marshall, "The use of genetic algorithms in morphological filter design," Elsevier Signal Processing: Image Communication , vol. 8, no. 1, pp. 55-72, 1996 https://doi.org/10.1016/0923-5965(95)00033-X
  6. M. Paulinas, and A. Usinska, "A survey of genetic algorithms applications for image enhancement and segmentation," Inform. Tech. & Control, vol. 36, no. 3, pp. 278-284, 2007
  7. R. Storn, "Differential evolution, a simple and efficient heuristic strategy for global optimization over continuous spaces," Journal of Global Optimization, vol. 11, no. 4, pp. 341-359, 1997 https://doi.org/10.1023/A:1008202821328
  8. P. Thomas, and D. Vernon, "Image registration by differential evolution," Proc. Int. Conf. Machine Vision & Image Processing, pp. 221-225, 1997
  9. S. Rahnamayan, H. R. Tizhoosh, and M. M. A. Salama, "Image thresholding using differential evolution," Proc. Int. Conf. Image Processing, Computer Vision & Pattern Recognition, pp. 244-249, 2006
  10. M. Watanabe, T. Endoh, M. Shiohara, and S. Sasaki, "Palm vein authentication technology and its applications," Proc. Conf. Biometric Consortium, pp. 37-38, 2005
  11. V. Paquit, et. al., "Near-infrared imaging and structured light ranging for automatic catheter insertion," in Visualization, Image-Guided Procedures, and Display, pp. 61411T-1-9, 2006 https://doi.org/10.1117/12.655326

피인용 문헌

  1. An Automated Technique for Detecting Axon Structure in Time-Lapse Neural Image Sequence vol.24, pp.3, 2014, https://doi.org/10.5391/JKIIS.2014.24.3.251