Noise removal and edge feature extraction of optical coherence tomography image

The anisotropic diffusion(AD) algorithm was used to preprocess the optical coherence tomography (OCT) images for noise reduction and edge enhancement,then the phase congruency(PC) algorithm was added to improve the edge characteristics extraction,and finally Butterworth high-boost filter was appended for further edge details enhancing and noises clearing up.The novel combinations of the three algorithms were applied to process the OCT images from a pearl and retinal nerve fiber layer respectively.The experimental results showed that effective noise suppression,clear outline extraction,and characteristics enhancement can be realized.