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首页> 外文会议>2010 3rd International Conference on Biomedical Engineering and Informatics >Segmentation of medical ultrasound image based on local histogram range image
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Segmentation of medical ultrasound image based on local histogram range image

机译：基于局部直方图范围图像的医学超声图像分割

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摘要

Image segmentation plays an important role in both qualitative and quantitative analysis of medical ultrasound images but it is known to be a difficult task due to the relatively low resolution and reduced contrast of the images, as well as due to the discontinuity and uncertainty of segmentation boundaries caused by speckle noise. Under such conditions, useful segmentation results seem to be only achievable by means of relatively complex algorithms, which are usually computationally involved and/or require a prior learning. In this paper, we proposed a new segmental method combined local histogram range image (LHRI) model with morphological image processing. In the first step, LHRI is used to obtain a primary segmentation and morphological image processing makes the region-of-interest (ROI) complete to get a complete tissue. Experimental result on medical ultrasound images show that our proposed algorithm can correctly segment the tissue's on ultrasound images.
机译：图像分割在医学超声图像的定性和定量分析中都起着重要作用，但是由于图像的分辨率相对较低和对比度降低，并且由于分割边界的不连续性和不确定性，因此已知这是一项艰巨的任务由斑点噪声引起。在这样的条件下，有用的分割结果似乎只能通过相对复杂的算法来实现，该算法通常涉及计算和/或需要事先学习。在本文中，我们提出了一种结合局部直方图范围图像（LHRI）模型和形态学图像处理的新分割方法。在第一步中，LHRI用于获得主要分割，形态图像处理使目标区域（ROI）完整，从而获得完整的组织。在医学超声图像上的实验结果表明，我们提出的算法可以正确分割超声图像上的组织。

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