An Improved Enhancement Technique for Mammogram Image Analysis: A Fuzzy Rule-Based Approach of Contrast Enhancement

Nurshafira Hazim Chan, K. Hasikin, N. A. Kadri
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引用次数: 2

Abstract

This paper presents a new and automated image enhancement technique for mammogram images. The new enhancement technique is proposed where it has adopted the fuzzy rule-based approach to improve the contrast of the image while details are preserved and existing noises are not amplified. A new fuzzy contrast parameter is executed to distinguish the regions to rule bases that are specifically enhanced the distinguished regions. The performance of the proposed technique is compared with other state-of-the art enhancement techniques in terms of qualitative appearance as well as quantitative measurements. The proposed technique attains good results and outperforms the other techniques. The enhanced image appears brighter and appearance of significant feature of microcalcification is improved.
一种改进的乳房x光图像分析增强技术:基于模糊规则的对比度增强方法
本文提出了一种新的、自动化的乳房x光图像增强技术。提出了一种新的增强技术,该技术采用基于模糊规则的方法,在保留图像细节和不放大现有噪声的前提下,提高图像的对比度。采用一种新的模糊对比参数来区分区域到规则库,该规则库对已区分的区域进行了具体的增强。所提出的技术的性能在定性外观和定量测量方面与其他最先进的增强技术进行了比较。该方法取得了较好的效果,优于其他方法。增强后的图像更加明亮,微钙化显著特征的显现得到改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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