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Reseach Article

Detection of Early Stage of Osteoarthritis with the Help of Image Processing Technique

Published on September 2015 by Bhagyashri L. Wagaj, and M.m.patil
Emerging Applications of Electronics System, Signal Processing and Computing Technologies
Foundation of Computer Science USA
NCESC2015 - Number 2
September 2015
Authors: Bhagyashri L. Wagaj, and M.m.patil
fc80e944-3405-4b2b-989c-65adb991ce8a

Bhagyashri L. Wagaj, and M.m.patil . Detection of Early Stage of Osteoarthritis with the Help of Image Processing Technique. Emerging Applications of Electronics System, Signal Processing and Computing Technologies. NCESC2015, 2 (September 2015), 1-4.

@article{
author = { Bhagyashri L. Wagaj, and M.m.patil },
title = { Detection of Early Stage of Osteoarthritis with the Help of Image Processing Technique },
journal = { Emerging Applications of Electronics System, Signal Processing and Computing Technologies },
issue_date = { September 2015 },
volume = { NCESC2015 },
number = { 2 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/ncesc2015/number2/22365-7332/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Emerging Applications of Electronics System, Signal Processing and Computing Technologies
%A Bhagyashri L. Wagaj
%A and M.m.patil
%T Detection of Early Stage of Osteoarthritis with the Help of Image Processing Technique
%J Emerging Applications of Electronics System, Signal Processing and Computing Technologies
%@ 0975-8887
%V NCESC2015
%N 2
%P 1-4
%D 2015
%I International Journal of Computer Applications
Abstract

Osteoarthritis (OA) is commonly seen among older people and it is arthritic type disease. It is a degenerative joint disease where cartilage slowly degenerates. Cartilage that shelters the bone ensures the smooth crusade of the joints. In knee OA, exaggerated bones come into contact due to degradation of cartilage, causing swell, discomfort and defeat of motion. Due to stress, knee joints can be frequently incapacitated and broken. The early detection of KOA could alert people to slow down the progression of the illness. Encouraged by this, the paper presents an automatic method to diagnose the Osteoarthritis disease. The cartilage of knee joint is segmented with pixel based segmentation method. For segmentation the texture filter method is applied. From segmented image cartilage area is calculated and depending on its estimated value image is classified into normal and OA affected. Osteoarthritis (OA) is commonly seen among older people and it is arthritic type disease. It is a degenerative joint disease where cartilage slowly degenerates. Cartilage that shelters the bone ensures the smooth crusade of the joints. In knee OA, exaggerated bones come into contact due to degradation of cartilage, causing swell, discomfort and defeat of motion. Due to stress, knee joints can be frequently incapacitated and broken. The early detection of KOA could alert people to slow down the progression of the illness. Encouraged by this, the paper presents an automatic method to diagnose the Osteoarthritis disease. The cartilage of knee joint is segmented with pixel based segmentation method. For segmentation the texture filter method is applied. From segmented image cartilage area is calculated and depending on its estimated value image is classified into normal and OA affected.

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Index Terms

Computer Science
Information Sciences

Keywords

Cartilage Magnetic Resonance Imaging (mri) Osteoarthritis (oa).