Feature enhancement of medical images using morphology-based homomorphic filter and differential evolution algorithm

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 evol...

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Bibliographic Details
Published inInternational journal of control, automation, and systems Vol. 8; no. 4; pp. 857 - 861
Main Authors Oh, Jinsung, Hwang, Heesoo
Format Journal Article
LanguageEnglish
Published Heidelberg Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers 01.08.2010
Springer Nature B.V
제어·로봇·시스템학회
Subjects
Algorithms
Blood vessels
Control
Decomposition
Engineering
Evolution
Filtering
Filtration
Gain
Genetic algorithms
Image contrast
Mechatronics
Medical
Morphology
Optimization
Regular Papers
Robotics
제어계측공학
homomorphic filter
image enhancement
Differential evolution algorithm
morphological filter
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
G704-000903.2010.8.4.012
ISSN:1598-6446
2005-4092
DOI:10.1007/s12555-010-0418-y