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Research On The Segmentation Of Zebrafish Image Based On Geometric Active Contour Model

机译:基于几何活动轮廓模型的斑马鱼图像分割研究

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The segmentation of zebrafish image is an important step for the processing and analysis of zebrafish image, due to the feature of uneven intensities and weak boundary in zebrafish images, general segmentation methods may result in missing part object or inexact segmentation, but active contour model can evolve enclosed active curve towards boundary automatically, which is easy to get the whole contour. In this paper, considering the features of zebrafish image, active contour model is introduced to segment the zebrafish images, and two different modes are described in detail based on this model, which are the mode based on boundary information and the mode based on mixture of the boundary and area information, and both these two modes can obtain satisfactory segmentation results in the experiments.
机译:斑马鱼形象的分割是斑马鱼图像的处理和分析的重要步骤,由于斑马鱼图像中不均匀强度和弱边界的特征,一般分割方法可能导致缺失部分对象或不精确的分割,但是有效的轮廓模型可以将激活曲线变为自动围绕边界,这很容易得到整个轮廓。在本文中,考虑到斑马鱼图像的特征,引入了主动轮廓模型以分割斑马鱼图像,并且基于该模型详细描述了两种不同的模式,这是基于边界信息的模式和基于混合的模式边界和区域信息,并且这两种模式都可以获得令人满意的分割结果。

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