Paper Info
Title
Improvement of image enhancement for mammogram images using Fuzzy Anisotropic Diffusion Histogram Equalisation Contrast Adaptive Limited (FADHECAL)
Abstract
Image enhancement techniques for digital mammograms can preserve the contrast to distinguish the diagnostic features such as masses and microcalcifications. However, mammogram images suffer low contrast and high image noise due to low exposure radiation used. As a result, the diagnostic features are difficult to detect and analyse by the radiologist. In this article, we propose a novel Fuzzy Anisotropic Diffusion Histogram Equalisation Contrast Adaptive Limited (FADHECAL) enhancement technique to reduce the noise of the mammogram images while preserving contrast and brightness. The FADHECAL technique also applies Fuzzy Clipped Inference System (FCIS) which automatically select clip-limit during the enhancement process. The mammogram images were retrieved from Mini-Mammographic Image Analysis Society (MIAS) and Digital Database for Screening Mammography (DDSM) from the University of South Florida database. The results have shown that FADHECAL has the most superior results among other selected enhancement techniques with 6.502 +/- 1.855 of AMBE, 0.934 +/- 0.034 of SSIM, 15.742 +/- 1.217 of MAE, 26.843 +/- 2.541 of PSNR, 0.969 +/- 0.021 of UIQI and 1.151 +/- 0.147 of RMSE values. This FADHECAL can be used as an ideal platform of image enhancement for mammogram images to detect the breast cancer lesions with better noise reduction and preserving the image details.
Year
DOI
Venue
2022
10.1080/21681163.2021.1972344
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION
Keywords
DocType
Volume
Breast imaging, breast cancer, mammography, medical image processing, fuzzy inference system, histogram equalisation
Journal
10
Issue
ISSN
Citations 
1
2168-1163
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Saifullah Harith Suradi100.34
Kamarul Amin Abdullah200.34
Nor Ashidi Mat Isa300.34