文章基本信息

标题：Investigations of the MRI Images Using Aura Transformation
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作者：Parveen Lehana ; Swapna Devi ; Satnam Singh 等
期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2012
卷号：3
期号：1
页码：95
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The quality of biomedical images can be enhanced by using several transformations reported in theliterature. The enhanced images may be useful to extract the exact information from these scans. In recenttimes, researchers exploited various mathematical models to smoothen and enhance the quality of thebiomedical images with an objective to extract maximum useful medical information related to functioningor malfunctioning of the brain. Both real and non-real time based techniques have been explored andreported for this purpose. In this proposed work, aura based technique has been investigated for enhancingthe quality of magnetic resonance imaging (MRI) scans of the human brain. The aura transformation basedalgorithm with some modifications has been developed and the performance of the algorithm is evaluatedon a series of defected, diseased, and normal MRI brain images.
关键词：MRI; image segmentation; brain tumor; aura transition; image processing.