Article Per Year (5 Year)
p-Index From 2019 - 2024
0
P-Index
This Author published in this journals
All Journal Proceeding of the Electrical Engineering Computer Science and Informatics
Anif Hanifa Setyaningrum
UIN Syarif Hidayatullah
Computer Science & IT Electrical & Electronics Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Texture Analysis and Fracture Identification of Lower Extremity Bones X-Ray Images Rahayu Suci Prihatini; Anif Hanifa Setyaningrum; Imam Marzuki Shofi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (944.793 KB) | DOI: 10.11591/eecsi.v4.1030

Abstract

Lower limb bones or lower limb component related to the torso with pelvic ankle interference can be fractured. Fractures can be detected automatically take advantage x-ray images performed using feature extraction methods. Feature Extraction helpful to know existence and location of fracture with x-ray images. This research apply Gray Level Co-Occurrence Matrix (GLCM) and K-Means Clustering Algorithm to analyze texture of lower extremity bones or lower limb bones x-ray images especially on the lower leg bones (cruris) consisting of two long bones (tibia) and leg bone (fibula), as well as the kneecap bone (patella). The GLCM feature extraction process yields an image characteristic with four parameters, i.e. Contrast, Correlation, Energy, and Homogeneity done before clustering steps for identification of fractured or non-fractured (normal) bones. The results accuracy texture analysis of lower extremity bones x-ray images using GLCM Feature Extraction Method and K-Means Clustering Algorithm is 80 percent. Keywords—Fracture, X-Ray Images, Lower Extremity Bones or Lower Limb Bones, Feature Extraction, GLCM, K-Means Clustering
Co-Authors Rahayu Suci Prihatini Shofi, Imam Marzuki