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All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Muhammad Khairul
Universitas Nasional
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Application of Spinal Disorders Detection on X-Ray Images Using Segmentation and K-Means Clustering Muhammad Khairul; Fauziah Fauziah; Iskandar Fitri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 3 (2022): JULY-SEPTEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i3.456

Abstract

There are three types of spinal disorders, namely kyphosis, lordosis, and scoliosis. To find out spinal disorders, it is necessary to carry out X-rays from an early age. Spinal disorders are not only found in children but can be found in adolescents, adults, and the elderly. Along with the times, making information technology more sophisticated is the advancement of image processing technology. Image processing can help in the medical field to analyze X-ray results to diagnose internal disorders or diseases. This study makes an application for the detection of spinal disorders with several methods of image segmentation processes and using the k-means clustering algorithm on x-ray images of spinal disorders. This segmentation image processing stage requires five stages of processing including cropping, resizing, median filter, histogram equalization, thresholding, and binary edges, and k-means clustering process as a comparison. This application is expected to be useful in knowing the difference between spinal disorders of lordosis, kyphosis, and scoliosis
Co-Authors Fauziah Fauziah Iskandar Fitri