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All Journal Abdimas Indonesian Journal
Resha Hartaman Yudiatama
Universitas Pamulang
Religion Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences

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Analisis Tekstur dan Deteksi Tepi Untuk Identifikasi Fraktur Tulang Pada Citra X – Ray Menggunakan Metode GLCM, LBP, Sobel, Prewitt, dan Roberts Berbasis Google Colab Resha Hartaman Yudiatama
Abdimas Indonesian Journal Vol. 6 No. 1 (2026)
Publisher : Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/aij.1787

Abstract

Bone fractures are one of the injuries that often occur due to accidents or excessive physical activity. Fracture examination is generally performed using radiographic imaging (X-Ray), but visual identification of bone fractures can sometimes be difficult, especially in low-quality images. This study aims to analyze the texture characteristics and detect edges on X-Ray images  to aid in the identification process of bone fractures. The methods used include the Gray Level Co-occurrence Matrix (GLCM), Local Binary Pattern (LBP), Sobel, Prewitt, and Roberts. GLCM is used to extract texture features in the form of Contrast, Energy, Correlation, and Homogeneity, while LBP is used to obtain local texture patterns. The Sobel, Prewitt, and Roberts method  is used to detect edges in bone structures. The implementation was carried out using Python on the Google Colab platform. The results showed that fracture images had a higher contrast value and a lower homogeneity value  compared to normal images. In addition, the Sobel method  results in a clearer edge visualization than other methods. The combination of texture analysis and edge detection is able to provide more complete information in the identification process of bone fractures.
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