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A New Approach for Extracting the Contour of an ROI in Medical Images

机译:一种提取医学图像中ROI轮廓的新方法

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摘要

A novel approach is presented to extract the contour of an ROI (region of interest) in medical images. It combines threshold segmentation method and SEL (sequential edge linking) algorithm. The salient area is located according to the human visual characteristics, and then the threshold is obtained and used to binarilize the whole image. The binary image is processed by the SEL algorithm to extract the contour of an ROI. Experiments show that the proposed method offers excellent ability to suppress noise and false edges. It can extract the precise and continuous contour of an ROI in medical images.
机译:提出了一种新颖的方法来提取医学图像中ROI(感兴趣区域)的轮廓。它结合了阈值分割方法和SEL(顺序边缘链接)算法。根据人的视觉特征对显着区域进行定位,然后获取阈值并将其用于对整个图像进行二值化处理。通过SEL算法处理二进制图像,以提取ROI的轮廓。实验表明,该方法具有很好的抑制噪声和虚假边缘的能力。它可以提取医学图像中ROI的精确而连续的轮廓。

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