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A new model and its application in segmentation and denoising of schistosoma eggs

机译:一种新模型及其在血吸虫卵分割与去噪中的应用

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In this work, we propose a minimizing functional based on Mumford-Shah model, which provides a model for image segmentation and smoothing. The paper analyzes the physical characteristics of the related modified Poisson equation in local coordinates and explains that diffusion behavioral is superior to isotropic diffusion in essence. Thus our model is more suitable for segmentation and smoothing while simultaneously preserving edges than the piecewise smooth Mumford-Shah (PSMS) model on noisy images with intensity inhomogeneities. The model is finally applied on a wide variety of image segmentation and denoising of schistosoma eggs. All these results show that the proposed model is effective.
机译:在这项工作中,我们提出了基于Mumford-Shah模型的最小化功能,该模型提供了图像分割和平滑的模型。本文分析了相关修正泊松方程在局部坐标系下的物理特征,并解释了扩散行为在本质上优于各向同性扩散。因此,与具有强度不均匀性的噪点图像上的分段平滑Mumford-Shah(PSMS)模型相比,我们的模型更适合于分割和平滑同时保留边缘。该模型最终应用于血吸虫卵的各种图像分割和去噪。所有这些结果表明,所提出的模型是有效的。

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