ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Classification of Osteoporosis using Fractal Texture Features

Journal: International Journal for Modern Trends in Science and Technology (IJMTST) (Vol.2, No. 2)

Publication Date:

Authors : ; ; ;

Page : 11-16

Keywords : ;

Source : Downloadexternal Find it from : Google Scholarexternal

Abstract

In our proposed method an automatic Osteoporosis classification system is developed. The input of the system is Lumbar spine digital radiograph, which is subjected to pre-processing which includes conversion of grayscale image to binary image and enhancement using Contrast Limited Adaptive Histogram Equalization technique(CLAHE). Further Fractal Texture features(SFTA) are extracted, then the image is classified as Osteoporosis, Osteopenia and Normal using a Probabilistic Neural Network(PNN). A total of 158 images have been used, out of which 86 images are used for training the network and 32 images for testing and 40 images for validation. The network is evaluated using a confusion matrix and evaluation parameters like Sensitivity, Specificity, precision and Accuracy are computed fractal feature extraction techniques.

Last modified: 2016-02-23 10:46:51