AUTHOR=Gornale Shivanand S. , Patravali Pooja U. , Hiremath Prakash S. TITLE=Automatic Detection and Classification of Knee Osteoarthritis Using Hu's Invariant Moments JOURNAL=Frontiers in Robotics and AI VOLUME=7 YEAR=2020 URL=https://www.frontiersin.org/journals/robotics-and-ai/articles/10.3389/frobt.2020.591827 DOI=10.3389/frobt.2020.591827 ISSN=2296-9144 ABSTRACT=

Significant information extraction from the images that are geometrically distorted or transformed is mainstream procedure in image processing. It becomes difficult to retrieve the relevant region when the images get distorted by some geometric deformation. Hu's moments are helpful in extracting information from such distorted images due to their unique invariance property. This work focuses on early detection and gradation of Knee Osteoarthritis utilizing Hu's invariant moments to understand the geometric transformation of the cartilage region in Knee X-ray images. The seven invariant moments are computed for the rotated version of the test image. The results demonstrated are found to be more competitive and promising, which are validated by ortho surgeons and rheumatologists.