基于直方图均衡的生物医学图像对比度增强新方法

A. Ziaei, H. Yeganeh, K. Faez, S. Sargolzaei
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引用次数: 36

摘要

本文介绍了一种基于直方图均衡化提高医学图像质量的新技术。在所提出的方法中,我们首先应用了一种降噪方法,然后对医学图像的直方图进行了一些适当的预处理,之后在新的直方图上应用了直方图均衡化。与其他基于直方图均衡化的普通方法相比,我们提出的方法尽管简单,但效果更好。我们在数据库(医学图像)中测试了应用我们提出的方法后所得到的图像质量,并通过查看器确认了标准。此外,我们还考虑了一个数学标准,用于比较我们提出的算法和其他可用的对比度增强方法。结果表明,我们提出的方法效率更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Approach for Contrast Enhancement in Biomedical Images Based on Histogram Equalization
This paper presents a novel technique to increase the quality of medical images based on histogram equalization. In the proposed method first we have applied a noise reduction method and then we apply some suitable preprocessing on histogram of the medical images and after that histogram equalization has been applied on the new histogram. Our proposed method in despite of its simplicity has better results in compare to other usual methods based on histogram equalization. The quality of resulted images after applying our proposed methods has been tested on a database (medical images) with a confirmed criterion by viewer. Also we have considered a mathematical criterion for comparing our proposed algorithm with other available methods for contrast enhancement. Results show the better efficiency of the proposed method.
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