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

机译:一种新模式及其在血吸虫卵子分割和去噪的应用

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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,我们提出了一种基于Mumford-Shah模型的功能最大限度地,为图像分割和平滑提供了模型。本文分析了局部坐标中相关修饰泊松方程的物理特征,解释说,扩散行为优于各自的各向同性扩散。因此,我们的模型更适合于分割和平滑,同时保持边缘,而不是具有强度不均匀的嘈杂图像上的分段平滑Mumford-Shah(PSM)模型。该模型最终应用于各种图像分割和血吸虫卵的去噪。所有这些结果表明,所提出的模型是有效的。

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