Abstract
In this paper, we present a new morphology-based homomorphic filtering technique for feature enhancement in medical images. The proposed method is based on decomposing an image into morphological subbands. The homomorphic filtering is performed using the morphological subbands. The differential evolution algorithm is applied to find an optimal gain and structuring element for each subband. Simulations show that the proposed filter improves the contrast of the features in medical images.
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Recommended by Editorial Board member Sung-Kwun Oh under the direction of Editor Young-Hoon Joo.
Jinsung Oh received his B.S. and M.S. degrees in Electrical Engineering from Yonsei University, Korea in 1987, 1989, and his Ph.D. degree in Electrical Engineering at University of Pittsburgh, U.S.A. in 1998. He is an assistant professor in Department of Electrical Engineering at Halla University, Korea. His research interests include image processing, architecture and algorithms for multimedia systems.
Heesoo Hwang received his B.S., M.S., and Ph.D. degrees in Electrical Engineering from Yonsei University in 1986, 1988 and 1993, respectively. From 1993 to 2000 he worked for system engineering of Korea High-Speed Rail Development project as a senior and a principal researcher in KRRI and KHSR, respectively. Since 2001 he is an associate professor in Department of Electrical Engineering at Halla University. His research interests include pattern classification, event prediction, and surveillance using fuzzy logic, neural network, and evolutionary algorithms.
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Oh, J., Hwang, H. Feature enhancement of medical images using morphology-based homomorphic filter and differential evolution algorithm. Int. J. Control Autom. Syst. 8, 857–861 (2010). https://doi.org/10.1007/s12555-010-0418-y
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DOI: https://doi.org/10.1007/s12555-010-0418-y