Evolutionary Design of Morphology-Based Homomorphic Filter for Feature Enhancement of Medical Images
| Autor: | Heesoo Hwang, Jinsung Oh |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Logic
Structuring element business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Homomorphic encryption Pattern recognition Filter (signal processing) Computer Science Applications Image (mathematics) Homomorphic filtering Computational Theory and Mathematics Artificial Intelligence Search algorithm Feature (computer vision) Differential evolution Signal Processing Computer vision Artificial intelligence business |
| Zdroj: | International Journal of Fuzzy Logic and Intelligent Systems. 9:172-177 |
| ISSN: | 1598-2645 |
| DOI: | 10.5391/ijfis.2009.9.3.172 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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