文件名称:bjontegaard2
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对目前几种在图像分割领域得到较多应用的交互式分割、区域生长分割以及阈值
分割算法进行了探讨,并且结合实际C T片图例分别进行分割实验研究,得到较为满意和
可用性强的结果. 实验表明: 阈值分割对于CT切片的效果最好 区域生长分割适宜于对面
积不大的区域进行分割,分割效果较好 基于动态规划的交互式分割算法比较复杂,计算时
间较长,但对于边缘较平滑的区域,同样具有较好的实际效果. 几种算法的评估为其在C T
图像分割上的实际应用提供了科学依据.-Several current get more applications in the field of interactive image segmentation segmentation, region growing segmentation and thresholding algorithm are discussed, and the actual CT slices legend experimental study divided separately, get more satisfaction and usability strong results. Experiment show: thresholding CT slices for the best region growing segmentation of the area is not suitable for the region segmentation, segmentation is better interactive segmentation based on dynamic programming algorithm is more complex, long computation time, but for edge smoother area, also has a good practical results. practical application evaluation of several algorithms for image segmentation in the CT provides a scientific basis.
分割算法进行了探讨,并且结合实际C T片图例分别进行分割实验研究,得到较为满意和
可用性强的结果. 实验表明: 阈值分割对于CT切片的效果最好 区域生长分割适宜于对面
积不大的区域进行分割,分割效果较好 基于动态规划的交互式分割算法比较复杂,计算时
间较长,但对于边缘较平滑的区域,同样具有较好的实际效果. 几种算法的评估为其在C T
图像分割上的实际应用提供了科学依据.-Several current get more applications in the field of interactive image segmentation segmentation, region growing segmentation and thresholding algorithm are discussed, and the actual CT slices legend experimental study divided separately, get more satisfaction and usability strong results. Experiment show: thresholding CT slices for the best region growing segmentation of the area is not suitable for the region segmentation, segmentation is better interactive segmentation based on dynamic programming algorithm is more complex, long computation time, but for edge smoother area, also has a good practical results. practical application evaluation of several algorithms for image segmentation in the CT provides a scientific basis.
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