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MRI Medical Images Enhancement based on Histogram Equalization and Adaptive Histogram Equalization

机译:基于直方图均衡化和自适应直方图均衡化的MRI医学图像增强

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MRI medical images recently considered one of the most widely utilized for disease diagnostic in the field of medicinal. With this signification the MRI images suffers from contrast degradations. These contrast degradations in MRI images can be solved with image contrast enhancement techniques to make it more suitable for medical applications. The image contrast enhancement techniques are used to enhance the visibility quality of internal human body texture in magnetic resonance imaging (MRI) images. In this paper the Histogram Equalization (HE) and Adaptive Histogram Equalization (AHE) are applied to improve the contrast of MRI medical images. Experimental results have achieved good efficiency to improve the contrast of MRI medical images with very high quality. Various measures quality like MSE, PSNR and SNR are been taken into account for evaluation the quality of enhanced MRI medical images.
机译:最近,MRI医学图像被认为是医学领域中最广泛用于疾病诊断的图像之一。具有这种意义的MRI图像遭受对比度下降。可以使用图像对比度增强技术解决MRI图像中的这些对比度下降问题,使其更适合于医疗应用。图像对比度增强技术用于增强磁共振成像(MRI)图像中人体内部纹理的可见性质量。本文应用直方图均衡化(HE)和自适应直方图均衡化(AHE)来提高MRI医学图像的对比度。实验结果取得了很好的效率,可以非常高质量地改善MRI医学图像的对比度。为了评估增强型MRI医学图像的质量,已考虑了各种度量质量(如MSE,PSNR和SNR)。

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