Identification of Knee Osteoarthritis Using Hybrid Segmentation Technique

1st International E-Conference on Recent Developments in Science, Engineering and Information Technology on 23rd to 25th September, 2020 Department of Computer Science, DDE, Madurai Kamaraj University, Tamil Nadu, India. International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

Osteoarthritis (OA) is one of the bigger parts and typical knee joint problem of which is inadequacy found in overweight and more established people which has the tendon of bone joints like feet, knee, spine and hip. In OA conventionally, tendon is spitted due to the control of bones with each other which will wrap up causing barbarous torture. In this situation, it is fundamental to explore the earnestness of OA which incorporates distinctive clinical imaging and clinical evaluation techniques. In this paper, modernized assessment and affirmation of OA is proposed by figuring the thickness of tendon which furthermore serves to sufficiently distinguish and examine the deformation in bone structures. Where we have considered different knee X-beam pictures. From the outset, preprocessing and commotion removal is performed. Further by executing Hybrid division using Graph based method and Thresholding the particularly knee zone is altered and inspected to handle the thickness of tendon to perceive the presence of OA.

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Keywords

Osteoarthritis, Knee, Segmentation, cartilage, Thresholding