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Proceedings Paper

Sum of top-hat transform based algorithm for vessel enhancement in MRA images
Author(s): Hibet-Allah Ouazaa; Hajer Jlassi; Kamel Hamrouni
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Paper Abstract

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 CLAHE 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.

Paper Details

Date Published: 13 April 2018
PDF: 6 pages
Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106961D (13 April 2018); doi: 10.1117/12.2309866
Show Author Affiliations
Hibet-Allah Ouazaa, National Engineering School of Tunis (Tunisia)
Univ. Tunis El Manar (Tunisia)
Hajer Jlassi, National Engineering School of Tunis (Tunisia)
Univ. Tunis El Manar (Tunisia)
Kamel Hamrouni , National Engineering School of Tunis (Tunisia)
Univ. Tunis El Manar (Tunisia)


Published in SPIE Proceedings Vol. 10696:
Tenth International Conference on Machine Vision (ICMV 2017)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev; Jianhong Zhou, Editor(s)

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