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首页> 外文会议>2014 International Conference on Science Engineering and Management Research >Speckle noise reduction in spectral domain optical coherence tomography retinal images using anisotropic diffusion filtering
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Speckle noise reduction in spectral domain optical coherence tomography retinal images using anisotropic diffusion filtering

机译：使用各向异性扩散滤波在光谱域光学相干断层扫描视网膜图像中减少斑点噪声

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摘要

In Ophthalmology, Optical Coherence Tomography (OCT) is well accepted as a clinical standard for diagnosing and monitoring the pathological changes in optic disc and retinal layers. In recent times, even though spectral domain detection technique has proved higher potential in terms of extremely high sensitivity and image acquisition speed, the major shortcomings is existence of speckle and its effect on interpretation and diagnosis. In this present paper, preprocessing for automated segmentation in the Spectral Domain Optical Coherence Tomography (SDOCT) retinal images is performed using anisotropic diffusion filtering method. The image enhancement is done initially by fuzzification technique which uses the maximum fuzzy entropy principle. For effective removal of speckles which of the order of 2-3μm anistropic diffusion filtering is performed. The performance of the filter is analyzed practically by measuring its quantitative parameters of structural similarity index measure and the results show that significant improvement in image quality is achieved by preserving the edges.
机译：在眼科学中，光学相干断层扫描（OCT）已被广泛接受为诊断和监测视盘和视网膜层病理变化的临床标准。近年来，即使在极高的灵敏度和图像采集速度方面已证明光谱域检测技术具有较高的潜力，但主要缺点是斑点的存在及其对解释和诊断的影响。在本文中，使用各向异性扩散滤波方法对光谱域光学相干断层扫描（SDOCT）视网膜图像中的自动分割进行预处理。图像增强首先通过使用最大模糊熵原理的模糊化技术完成。为了有效去除斑点，执行2-3μm的各向异性扩散过滤。通过测量结构相似性指标度量的定量参数，可以对滤波器的性能进行实际分析，结果表明，通过保留边缘可以显着改善图像质量。

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