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Title:
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MEDICAL IMAGE NOISE REDUCTION AND REGION CONTRAST ENHANCEMENT USING PARTIAL DIFFERENTIAL EQUATIONS |
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Author(s):
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Miguel Alemán-flores , Luis Álvarez-león , Patricia Alemán-flores , Rafael Fuentes-pavón , José M. Santana-montesdeoca |
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ISBN:
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978-972-8924-97-3 |
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Editors:
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Hans Weghorn and Pedro Isaías |
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Year:
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2009 |
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Edition:
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V II, 2 |
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Keywords:
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Image processing, noise reduction, contrast enhancement, segmentation, anisotropic diffusion |
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Type:
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Short Paper |
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First Page:
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222 |
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Last Page:
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226 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper presents a new approach to noise reduction and contrast enhancement for different types of medical images.
An anisotropic scheme is used to iteratively reduce noise as well as to define image regions and enhance region contrast.
The process is performed in three stages and the final values of the regions are automatically extracted from the image
histogram, thus providing a fast method to obtain the most significant information in the image and a good approximation
to region boundaries. This technique can be applied, not only to multiple region image segmentation, but also to certain
processes of computer aided diagnosis which include several types of feature extraction. |
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