J4 ›› 2010, Vol. 27 ›› Issue (2): 129-133.
• 图像与信息处理 • 下一篇
唐海波
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摘要: 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。对不同的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。
关键词: 光学相干层析, 各向异性扩散, 图像去噪, 边缘特征提取, optical coherence tomography, anisotropic diffusion, image de-noising, edge detection
Abstract: The anisotropic diffusion (AD) algorithm was used to preprocess the OCT images for noise reduction and edge enhancement, then the phase congruency (PC) algorithm was added to improve the edge characteristics extraction, and finally Butter-worth highboost-filter was appended for further edge details enhancing and noises clearing up. The novel combinations of the three algorithms were applied to the two different OCT images processing, the experiment results showed that effective noise suppression, clear outline extraction, and characteristics enhancements were realized.
唐海波. 光学相干层析图像的散斑去躁和边缘特征提取[J]. J4, 2010, 27(2): 129-133.
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http://lk.hfcas.ac.cn/CN/Y2010/V27/I2/129