A method for automated thickness measurements of nacre from optical coherence tomography images

摘要

In this paper, we explored the automatic thickness measurements of nacre from optical coherence tomography (OCT) images. Our method detects the upper boundary of nacre by Canny edge operator and the raw boundary is fitted to a circle by a priori. Then polar transform is applied to the image according to the fitted circle. At the following stage, we extract the lower boundary By a transform incorporating unilateral difference and intensity of pixels. Finally, we get the probability distribution of nacre thickness by probability density projection. The proposed approach was evaluated using a large number of pearl optical Coherence tomography images and achieved high accuracy, which could meet the requirements of practical applications. Besides, our method is robust to noise and boundary discontinuity. Experimental results demonstrate the effectiveness and robustness of our method.