Alveolar bone-loss area localization in periodontitis radiographs based on threshold segmentation with a hybrid feature fused of intensity and the H-value of fractional Brownian motion model.

•Present an effective threshold segmentation method for localizing alveolar bone-loss areas in periodontitis images using a hybrid feature=0.15 fBm-H+0.85 (1−I), both fBm-H and I are normalized.•(TPF, FPF) of 31 tested radiograph images (used and unused in weight training)∼(92.5%, 14%).•∼14% lower FPF than level set, Bayesian, KNN, SVM classification using the same two features.•The method would be useful for dentists in evaluating degree of bone-loss for periodontitis patients.