Mesh‐free approach for enhancement of mammograms. Issue 3 (1st March 2018)

• Record Type: Journal Article
• Authors: Kashyap, Kanchan Lata; Bajpai, Manish Kumar; Khanna, Pritee; Giakos, George
• Is Part Of: IET image processing. Volume 12:Issue 3(2018)
• Page Start: 299
• Page End: 306
• Publication Date: 2018-03-01
• Subjects: mammography -- image enhancement -- medical image processing -- finite difference methods -- radial basis function networks; mesh‐free approach -- mammograms enhancement -- mesh‐free radial basis function -- linear diffusion equation -- image enhancement -- mesh‐based finite difference method -- unsharp masking -- contrast limited adaptive histogram equalisation -- image contrast -- image processing techniques -- Mini‐Mammographic Image Analysis Society -- digital database -- peak signal‐to‐noise ratio -- contrast enhancement technique -- mesh‐free‐based RBF collocation method; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2017.0326
• Languages: English
• ISSNs: 1751-9659

Abstract

Abstract : Mammogram enhancement is a key step to detect breast cancer using digital mammogram. The present study investigates mesh‐free radial basis function (RBF) collocation method to solve linear diffusion equation for image enhancement of mammograms. The proposed algorithm is compared with the mesh‐based finite difference method as well as other existing enhancement methods such as unsharp masking, histogram equalisation, and contrast limited adaptive histogram equalisation. Specifically, figure‐of‐merits with emphasis on image contrast and computational time are assessed and compared with different image processing techniques. The proposed algorithm has been applied towards the enhancement of all 322 sample mammogram images of Mini‐Mammographic Image Analysis Society and randomly selected 300 sample images from Digital Database for Screening Mammography databases. Finally, mean and standard deviation of contrast improvement index and peak signal‐to‐noise ratio have been estimated and presented. The outcome of this study indicates that the mesh‐free‐based RBF collocation method proves to be a computationally efficient and valuable contrast enhancement technique in an area of mammography.