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Osteoporosis is one of the most common bone diseases over the world, this disease causes a high risk of fracture, an early diagnosis of the osteoporosis can help avoiding the risk of fracture. Several methods have been proposed to detect the presence of this disease. In this paper we propose a method of osteoporosis diagnosis based on bone X-Ray images, using the frequency separation and fractional...
Osteoporosis diagnosis has attracted particular attention in recent decades. Textured images from the microarchitecture of osteoporotic and healthy subjects show a high degree of similarity, increasing the difficulty of classifying such textures. Thus, the evaluation of osteoporosis from the bone X-ray images presents a major challenge for pattern recognition and medical applications. The purpose...
Osteoporosis is a skeletal disease characterized by a decrease in bone mass and density. The objective of this paper is the diagnosis of osteoporosis disease based on X-Ray images using Wavelet decomposition and fractal analysis. The method lies on a preprocessing phase followed by Wavelet decomposition of X-Ray images into sub-bands using steerable pyramid decomposition. Features are then extracted...
The objective of this paper lies on the characterization of osteoporosis disease using fractal analysis of X-Ray images. The method consists of a pre-processing step followed by a feature extraction based on the fractional Brownian motion (fBm) model. The Support Vector Machine (SVM) was used as a classifier to distinguish between two populations composed of Osteoporotic Patients (OP) and Control...
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