CAJ | 학술논문

提出采用各向异性扩散(AD)算法对光学相干层析(OCT)图像作噪声消除和边缘增强的预处理,然后结合改进的相位一致(PC)算法进行边缘特征提取,并引入巴特沃斯高通提升滤波进一步衰减低频噪声,增强高频边缘细节.对珍珠和视网膜神经纤维层的OCT图像进行处理实验,结果表明,上述三种算法的综合应用,使OCT图像噪声得到有效抑制,轮廓清晰,特征部位得到加强.
제출채용각향이성확산(AD)산법대광학상간층석(OCT)도상작조성소제화변연증강적예처리,연후결합개진적상위일치(PC)산법진행변연특정제취,병인입파특옥사고통제승려파진일보쇠감저빈조성,증강고빈변연세절.대진주화시망막신경섬유층적OCT도상진행처리실험,결과표명,상술삼충산법적종합응용,사OCT도상조성득도유효억제,륜곽청석,특정부위득도가강.
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.