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Sum of Top-Hat Transform Based Algorithm for Vessel enhancement in MRA images

机译:基于Top-Hat变换的MRA图像血管增强算法总和

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The Magnetic Resonance Angiography (MRA) is rich with information's. But, they suffer from poor contrast, illumination and noise. Thus, it is required to enhance the images. But, these significant information can be lost if improper techniques are applied. Therefore, in this paper, we propose a new method of enhancement. We applied firstly the CL AHE method to increase the contrast of the image. Then, we applied the sum of Top-Hat Transform to increase the brightness of vessels. It is performed with the structuring element oriented in different angles. The methodology is tested and evaluated on the publicly available database BRAINIX. And, we used the measurement methods MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio) and SNR (Signal to Noise Ratio) for the evaluation. The results demonstrate that the proposed method could efficiently enhance the image details and is comparable with state of the art algorithms. Hence, the proposed method could be broadly used in various applications.
机译:磁共振血管造影(MRA)内容丰富。但是,它们遭受差的对比度,照明和噪声的困扰。因此,需要增强图像。但是,如果应用了不正确的技术,则这些重要信息可能会丢失。因此,本文提出了一种新的增强方法。我们首先应用CL AHE方法来增加图像的对比度。然后,我们应用Top-Hat变换的总和来增加血管的亮度。它是通过以不同角度定向的结构元素执行的。该方法已在公开数据库BRAINIX上进行了测试和评估。并且,我们使用了测量方法MSE(均方误差),PSNR(峰值信噪比)和SNR(信噪比)进行评估。结果表明,所提出的方法可以有效地增强图像细节,并且与现有技术水平的算法相当。因此,所提出的方法可以广泛地用于各种应用中。

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