Abnormality Detection in Chest X-ray Images Using Uncertainty Prediction Algorithms

Histogram of Oriented Gradient (HOG) is one of the popular algorithms for recognizing objects in images with a very high success rate. In image processing techniques hardware reinforcement is one of the key features of studying the large size and complex images to perform. In this study, HOG features were extracted from all locations of a dense grid on an image region and used linear Support Vector Machine (SVM) to classify the combined features.