首页> 外文期刊>Asian Journal of Information Technology >Localized Region Based Active Contour Algorithm for Segmentation ofAbdominal Organs and Tumors in Computer Tomography Images
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Localized Region Based Active Contour Algorithm for Segmentation ofAbdominal Organs and Tumors in Computer Tomography Images

机译:基于局部区域的主动轮廓算法在计算机断层扫描图像中分割腹部器官和肿瘤

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This study presents a localized region based lankton algorithm with decision median filter for thesegmentation of abdominal organs and tumors in CT images. Active contour algorithms based on discreterepresentation of implicit functions are widely used in medical image segmentation. The decision median filtercan filter the gaussian noise and impulse noise efficiently than conventional spatial domain filters with betteredge preservation. A comparative analysis of various active contour models is done and the decision medianfilter based lankton segmentation algorithm gives best result. The performance of the proposed segmentationalgorithm was evaluated in terms of metrics like dice coefficient and hausdorff distance. The proposed algorithmeffectively segments the abdominal organs and tumors in computer tomography images with well-definedboundaries.
机译:这项研究提出了一种基于局部区域的带决策中值滤波的lankton算法,用于CT图像中腹部器官和肿瘤的增生。基于隐式函数离散表示的主动轮廓算法在医学图像分割中得到了广泛的应用。决策中值滤波器比具有更好边缘保留的传统空间域滤波器可以有效地过滤高斯噪声和脉冲噪声。对各种活动轮廓模型进行了比较分析,基于决策中值滤波器的lankton分割算法给出了最佳结果。根据骰子系数和hausdorff距离等指标评估了建议的分割算法的性能。该算法在边界清晰的计算机断层扫描图像中有效地分割了腹部器官和肿瘤。

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