Nature-inspired algorithms based multispectral image fusion

SI Bejinariu, R Luca, H Costin - 2016 International Conference …, 2016 - ieeexplore.ieee.org
Image Fusion is the combining process of relevant information from one, two or more images
to create a single image which is more complete than any of the input ones. Image fusion is …

Optimized s-curve transformation and wavelets-based fusion for contrast elevation of breast tomograms and mammograms

V Bhateja, S Urooj, A Dikshit, A Rai - Diagnostics, 2023 - mdpi.com
For the purpose of accuracy in detection and diagnosis, Computer-Aided Diagnosis (CAD) is
preferred by radiologists for the analysis of Breast Cancer. However, the presence of noise …

Discrete Wavelet Transform-Based Fusion of Mammogram Images for Contrast Improvement

A Dikshit, V Bhateja, A Rai - … in Micro-Electronics, Embedded Systems and …, 2022 - Springer
Enhancement increases accuracy and efficiency of radiologist interpretation of mammogram
images. However, most modalities exhibit inadequate contrast, weak tissue boundaries, etc …

Image fusion using evolutionary algorithms: A survey

KC Haritha, G Jeyakumar… - 2017 4th International …, 2017 - ieeexplore.ieee.org
This paper is mainly intended to compare image fusion method using different evolutionary
algorithms and a comparison between these methods. The survey focuses on region-based …

Mammogram Image Fusion using Sigmoidal Function and Max. Fusion Rule

A Rai, V Bhateja, A Dikshit - … and Applications, Volume 2: Proceedings of …, 2022 - Springer
In the proposed approach, contrast enhancement is performed using Direct Sigmoidal
transformation function in order to ease the further processing and get accurate results …

Breast Cancer Detection Based on Decision Fusion of Machine Learning Algorithms

R Yadav, R Sharma - … Conference on Advanced Informatics for Computing …, 2020 - Springer
A lot of new methods have been invented in Machine Learning since 1959 when Arthur
Samuel first coined the term. The ability to learn and pattern checking in data persuaded …

Nature-Inspired Computing for Feature Selection and Classification

R Chakre, DV Patil, MU Kharat - Computational Intelligence in …, 2023 - taylorfrancis.com
Feature selection and classification play a vital role in all types of data processing. The
analysis of large-scale, multidimensional data is a critical task. To deal with these issues …

[PDF][PDF] Optimized S-Curve Transformation and Wavelets-Based Fusion for Contrast Elevation of Breast Tomograms and Mammograms. Diagnostics 2023, 13, 410

V Bhateja, S Urooj, A Dikshit, A Rai - 2023 - academia.edu
For the purpose of accuracy in detection and diagnosis, Computer-Aided Diagnosis (CAD) is
preferred by radiologists for the analysis of Breast Cancer. However, the presence of noise …

Weighted Averaging PSO-Based SWT Method of Image Fusion for X-Ray Mammograms

M Prema Kumar, V Veer Raju… - … Applications, Volume 2 …, 2022 - Springer
Fusion of medical images always helps the doctor to spot the disease correctly. X-ray
mammogram is very useful for detection of malignancy in the breast. In many conditions …