Mammographic image enhancement using indirect contrast enhancement techniques - A comparative study

被引：44

作者：

Akila, K. ^{[1
]}

Jayashree, L. S. ^{[2
]}

Vasuki, A. ^{[3
]}

机构：

[1] Kumaraguru Coll Technol, Mechatron Engn, Coimbatore, Tamil Nadu, India

[2] RVS Coll Engn & Technol, Comp Sci Engn, Coimbatore, Tamil Nadu, India

[3] Kumaraguru Coll Technol, Elect & Commun Engn, Coimbatore, Tamil Nadu, India

来源：

GRAPH ALGORITHMS, HIGH PERFORMANCE IMPLEMENTATIONS AND ITS APPLICATIONS (ICGHIA 2014) | 2015年 / 47卷

关键词：

Image enhancement; Histogram equalization; CLAHE; BPHE; RMSHE; MMBHE; Effective measure of enhancement; HISTOGRAM EQUALIZATION; ALGORITHMS; PERFORMANCE;

D O I：

10.1016/j.procs.2015.03.205

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Contrast enhancement is an important issue in the field of mammographic image processing. It can be classified into two categories: direct contrast enhancement and in direct contrast enhancement. Indirect contrast enhancement involves in modifying histogram of the image. Histogram equalization (HE) is the simplest indirect contrast enhancement technique which is widely used for contrast enhancement. Many variants of HE are proposed so far. Comparison of these techniques is significantly essential in deciding a suitable algorithm for enhancement and further processing. In this paper we applied few indirect contrast enhancement techniques namely histogram equalization, CLAHE, BBHE, RMSHE, MMBEBHE to preprocess the mammographic images. The performance of the methods is measured using effective measure of enhancement (EME) and peak signal to noise ratio (PSNR). (C) 2015 The Authors. Published by Elsevier B.V.

引用

页码：255 / 261

页数：7

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