An approach to segment ocular optical coherence tomography images with age-related macular degeneration was developed. The main advantage is to decrease computational loads while maintaining high accuracy through the following techniques: Fisher’s discriminant analysis for initial location of layer interfaces,curvature calculation for drusen detection,and refining interfaces using Kalman filters. Validation on 220 images of 20 volumes shows that three layer interfaces in each image can be segmented within 42 milliseconds with an average absolute error of layer interface below 3.29 μm. Compared with a state-of-the-art method,the proposed method is 40 times faster and maintains similar or significantly better accuracy,which is better suited for clinical usage.