Abstract
Nowadays, image fusion of medical images plays a crucial role and enables the radiologists to diagnosis the diseases. X-ray mammogram has become a universal practice for the identification of cancer cells in the breast. Sometimes, a single X-ray mammography is not alone sufficient to express full details about breast cancer to the radiologist. To overcome this problem, equalization of the histogram is chosen to improve the superiority of the X-ray mammography and then image fusion using weighted averaging genetic algorithm-based stationary wavelet transform is planned to enhance the quality of the fused image. An experimental result shows this proposed technique of medical image fusion which gives improved results w.r.t. existing methods.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Prema Kumar M, Sowjanya N, Rajesh Kumar P (2017) Weighted averaging SWT technique for enhanced image fusion in X-ray mammography. In: International conference on micro-electronics, electromagnetics and telecommunications ICMEET 2017. LNEE Springer book series, vol 471, pp 739–747
Prema Kumar M, Rajesh Kumar P (2014) Weighted averaging DWT technique for enhanced image fusion in mammography. Int J Image Process Vis Commun 3(2):10–15
Naidu VPS, Rao JR (2008) Pixel-level image fusion using wavelets and principal component analysis. Defence Sci J 58(3):338–352
James AP, Dasarathy BV (2014) Medical image fusion: a survey of the state of the art. In: Information fusion (2014)
Wang Z, Clavijo CA, Roessl E, van Stevendaal U, Koehler T, Hausergy N, Stampanoni M (2012) Image fusion scheme for differential phase contrast mammography. In: 7th medical applications of synchrotron radiation workshop (MASR 2012) Shanghai synchrotron radiation facility (SSRF), 17–20, Published By IOP Publishing For Sissa Media lab
Venkata Subbarao M, Sayedu Khasim N, Jagadeesh T, Sastry MHH (2013) Hybrid image compression using DWT and neural networks. Int J Adv Sci Technol 53:31–41
Vijay Kumar Raju V, Prema Kumar M (2014) Denoising of MRI and X-ray images using dual tree complex wavelet and curvelet transforms. In: International conference on communication and signal processing (ICCSP 2014) on 3–5 Apr 2014, at Adhiparasakthi Engineering College, Melmaruvathur, India, pp 1135–1139
Vijay Kumar Raju V, Prema Kumar M (2014) Performance evaluation of image fusion algorithms based on Wavelet Transforms. Int J Electron Commun Eng Adv Res (IJECEAR) 2(2). ISSN: 2347-9329 (Online)
Aymaz S, Kose C (2017) Multi-focus image fusion using Stationary Wavelet Transform (SWT) with Principal Component Analysis (PCA). In: 10th international conference on electrical and electronics engineering (ELECO), pp 1176–1180
Li M, Dong Y, Wang X (2013) Pixel level image fusion based the wavelet transform. In: 6th international congress on image and signal processing
Borwonwatanadelok P, Rattanapitak W, Udomhunsakul S (2009) Multi-focus image fusion based on stationary wavelet transform. In: 2009 international conference on electronic computer technology. 978-0-7695-3559-3/09 $25.00 © (2009) IEEE
Naidu VPS, Rao JR (2008) Pixel-level image fusion using wavelets and principal component analysis a comparative analysis. Defence Sci J 58(3):338–352
Prema Kumar M, Rajesh Kumar P (2015) Image fusion of mammography images using genetic algorithm (GA). Aust J Basic Appl Sci 9(33):45–50
Jyothi V, Rajesh Kumar B, Rao PK, Reddy DVRK (2012) Image fusion using evolutionary algorithms (GA). Int J Comput Technol Appl 2(2)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kumar, M.P., Veer Raju, V., Rajesh Kumar, P. (2021). Image Fusion of X-ray Mammography Using Weighted Averaging GA-Based SWT Technique. In: Chowdary, P., Chakravarthy, V., Anguera, J., Satapathy, S., Bhateja, V. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 655. Springer, Singapore. https://doi.org/10.1007/978-981-15-3828-5_66
Download citation
DOI: https://doi.org/10.1007/978-981-15-3828-5_66
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3827-8
Online ISBN: 978-981-15-3828-5
eBook Packages: EngineeringEngineering (R0)