Editorial
Speckle Noise Removal from Biomedical MRI Images and Classification by Multi-Support Vector Machine
@ARTICLE{10.4108/eetpht.10.5076, author={B Hemalatha and B Karthik and C V Krishna Reddy}, title={Speckle Noise Removal from Biomedical MRI Images and Classification by Multi-Support Vector Machine}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={10}, number={1}, publisher={EAI}, journal_a={PHAT}, year={2024}, month={2}, keywords={Signal to Noise Ratio, Speckle, MRI Images, Classification, Mean Filter, Multi SVM}, doi={10.4108/eetpht.10.5076} }- B Hemalatha
B Karthik
C V Krishna Reddy
Year: 2024
Speckle Noise Removal from Biomedical MRI Images and Classification by Multi-Support Vector Machine
PHAT
EAI
DOI: 10.4108/eetpht.10.5076
Abstract
INTRODUCTION: Image Processing (IP) methods play a vital role in medical images for diagnosing and predicting illness, as well as monitoring the patient's progress. The IP methods are utilized in many applications for example in the field of medicine. OBJECTIVES: The images that are obtained by the MRI magnetic Resonance imaging and x rays are analyzed with the help of image processing. METHODS: This application is very costly to the patient. Because of the several non-idealities in the image process, medical images are frequently tainted by impulsive, multiplicative, and addictive noise. RESULTS: By replacing some of the original image's pixels with new ones that have luminance values which are less than the allowed dynamic luminance range, noise frequently affects medical images. CONCLUSION: In this research work, the Speckle type noises are eliminated with the help of Mean Filter (MF) and classify the images using Multi-SVM classifier. The entire system developed using python programming.
Copyright © 2024 B. Hemalatha et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
