International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Jul. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 112
Paper Published : 1548
No. of Authors : 4210
  Journal Paper


Paper Title :
Determination And Analysis Of Arthritis Using Digital Image Processing Techniques

Author :Bhavyashree K G, Sheela Rao N

Article Citation :Bhavyashree K G ,Sheela Rao N , (2014 ) " Determination And Analysis Of Arthritis Using Digital Image Processing Techniques " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 46-49, Volume-2,Issue-9

Abstract : Arthritis is a common bone disease that mainly affects the joints of the body; basically fingers, hands, knees. This may lead to disability, premature mortality and chronic ill-health. In this work, MRI images of knee have been used for analysis. The estimation of volume or thickness of cartilage at knee plays an important role in determining arthritis. The image is first preprocessed with B-Splines creation before segmentation. Then the edges are fine tuned with canny and log edge detectors. Finally the distance between the edges is calculated in order to find cartilage thickness. The thickness is measured as the number of the pixels between edges. Then depending on the thickness value the abnormality is decided about arthritis. This is a very simple and efficient way to determine arthritis based on threshold cartilage thickness value.

Type : Research paper

Published : Volume-2,Issue-9


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