Improved The Image Enhancement Using Filtering and Wavelet Transformation Methodologies

R Kumar, M Patil - Available at SSRN 4182372, 2022 - papers.ssrn.com
The use of a person's fingerprints as a method of identification is both one of the earliest
methods and one of the most common methods used today. The process of recognizing a …

Glaucoma classification using a polynomial-driven deep learning approach

KS Naidana, SS Barpanda - Bulletin of Electrical Engineering and …, 2023 - beei.org
In this paper, a deep learning-based multi-stage polynomial driven glaucoma classification-
net (PDGC-Net) has been proposed for glaucoma identification through retinal images. The …

A Novel Approach for Glaucoma Classification by Wavelet Neural Networks Using Statistical and Graph-Based Features of Qualitatively Improved Images.

KS Naidana, SS Barpanda - Traitement du Signal, 2024 - search.ebscohost.com
In this paper, we have proposed a new glaucoma classification approach that employs a
wavelet neural network (WNN) on optimally enhanced retinal images' features. To avoid …

Robust Principal Component Analysis for Retinal Image Enhancement

HT Likassa, DG Chen - Biostatistics Modeling and Public Health …, 2024 - Springer
Recent concerns in biomedical image processing revolve around robustly detecting outliers
and noise. A major challenge in emerging statistical and mathematical domains involves …

[PDF][PDF] Enhancing Fault Detection in Image Analysis: A Combined Wavelet-Fourier Technique for Advancing Manufacturing Quality Control

Z Khodadadia, MS Owlia, A Amirib - Transactions B: Applications, 2024 - ije.ir
This study focuses on utilizing image data for statistical process control and improving
quality monitoring in manufacturing and service systems. The effectiveness of individual and …