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首页> 外文会议>Conference on Optical Coherence tomography and coherence domain optical methods in biomedicine XXI >Speckle Reduction of OCT images using an Adaptive Clusterbased Filtering
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Speckle Reduction of OCT images using an Adaptive Clusterbased Filtering

机译：使用Adaptive ClusterBased滤波的OCT图像的散斑减少

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Optical coherence tomography (OCT) has become a favorable device in the dermatology discipline due to its moderate resolution and penetration depth. OCT images however contain grainy pattern, called speckle, due to the broadband source that has been used in the configuration of OCT. So far, a variety of filtering techniques is introduced to reduce speckle in OCT images. Most of these methods are generic and can be applied to OCT images of different tissues. In this paper, we present a method for speckle reduction of OCT skin images. Considering the architectural structure of skin layers, it seems that a skin image can benefit from being segmented in to differentiable clusters, and being filtered separately in each cluster by using a clustering method and filtering methods such as Wiener. The proposed algorithm was tested on an optical solid phantom with predetermined optical properties. The algorithm was also tested on healthy skin images. The results show that the cluster-based filtering method can reduce the speckle and increase the signal-to-noise ratio and contrast while preserving the edges in the image.
机译：光学相干断层扫描（OCT）由于其中度分辨率和渗透深度而成为皮肤科纪律的有利装置。然而，OCT图像含有颗粒状图案，称为散斑，由于在OCT配置中使用的宽带源。到目前为止，引入了各种过滤技术以减少OCT图像中的斑点。这些方法中的大多数是通用的，可以应用于不同组织的OCT图像。在本文中，我们提出了一种用于散斑减少OCT皮肤图像的方法。考虑到皮肤层的架构结构，似乎皮肤图像可以受益于分段到可分辨率簇，并且通过使用群集方法和诸如维纳的过滤方法，在每个集群中分别过滤。该算法在具有预定光学性质的光学固体模型上测试。该算法还在健康的皮肤图像上进行测试。结果表明，基于群集的滤波方法可以减少散斑并增加信噪比，同时保留图像中的边缘的相对噪声比和对比度。

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