用直方图均衡化技术增强MRI脑图像

Shaik Sohel Pasha, P. Babu, Z. Vakil
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引用次数: 3

摘要

在现代数字图像处理中,计算机部门需要一个有效的、低噪声的MRI图像,并增强图像对比度。主要方法验证并考察了基于直方图的多种富集方法。磁共振成像均衡化在MRI的基础上进行检查和确定。关于直方图参数度量的计算技术。图像提升是一种调整或改变图像,使其越来越适合于特定应用的技术,用于增强或改善区分比例和图像亮度,从图像中消除混乱,使识别更简单。磁共振成像(MRI)是一项了不起的医学创新,它提供了关于人脑软组织、中风和许多其他疾病的更好数据。医生通过核磁共振成像有效地解剖了这种疾病。MRI有少许差异比例,以提高MRI的鉴别。图片我们使用了直方图均衡化程序。因此,LHE、CLAHE、HE和AHE技术是相关的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancement of MRI Brain Images with Histogram Equalization Techniques
In modern days, in digital image processing, the computerized sector needs an effective, low noise MRI picture and enhances image contrast. The main method verified and looked at multiple enrichment methods based on Histogram. Equalization of magnetic resonance imaging examines and determines on basis of MRI. In relation to calculating the parameter metrics of the histogram -techniques. Image advancement is a technique for adjusting or changing the picture to make it increasingly suitable for specific applications and is utilized for enhancing or improving differentiation proportions and picture brilliance, expelling commotion from the picture and making recognizing simpler. Magnetic resonance imaging (MRI) is a fantastic medicinal innovation that offers better data about human brain-soft tissue, stroke and numerous other illnesses. Doctors dissect the disease effectively through MRI. MRI has a little difference proportion to improve the differentiation of MRI. Picture we use Histogram-Equalization procedures. In that LHE, CLAHE, HE and AHE techniques are correlated.
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