Hybrid Contrast Enhancement Approach for Medical Image
B.ganesan, G Yamuna and Sudhir Kumar Suman. Article: Hybrid Contrast Enhancement Approach for Medical Image. IJCA Proceedings on National Conference on Emerging Trends in Information and Communication Technology 2013 NCETICT:9-12, March 2014. Full text available. BibTeX
@article{key:article,
author = {B.ganesan and G. Yamuna and Sudhir Kumar Suman},
title = {Article: Hybrid Contrast Enhancement Approach for Medical Image},
journal = {IJCA Proceedings on National Conference on Emerging Trends in Information and Communication Technology 2013},
year = {2014},
volume = {NCETICT},
pages = {9-12},
month = {March},
note = {Full text available}
}
Abstract
Available methods for image contrast enhancement focus mainly on the properties of the image to be processed while excluding any consideration of the observer characteristics. In many applications, especially in the medically related images, effective contrast enhancement for diagnostic purposes can be achieved by including certain basic human visual properties. Available techniques for contrast enhancement pertaining to medical image depend on the image characteristics, hence a hybrid contrast enhancement techniques are preferentially considered for medical image to observe better result. Present work deals with above context for CT scan images with single seed based region growing adaptive enhancement techniques. Experimental result shows that the proposed work gives better performance when compared to the existing techniques.
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