Application of color spaces fusion approach in MRI classification

This paper presents a new detection approach to magnetic resonance (MR) image classification. It is called color space fusion method. MRI produces a sequence of multiple spectral images of tissues with a variety of contrasts using three magnetic resonance parameters, spin-lattice (T1), spin-spin (T2) and dual echo-echo proton density (PD) as signals impinging upon the color space RGB. Therefore, the fusion method and the improved K-means algorithm can be applied. A series of experiments are conducted and compared for performance evaluation. The results show that the proposed method is a promising and effective technique for MR image classification.

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