几种常用CT图像分割算法分析和探讨

Research and Analysis of Several CT Image Segmentation Algorithm

图像分割是数字图像处理的一个经典难题。其分割质量的好坏直接影响到图像处理的后续工作。因而在理论研究和实际应用中受到研究人员的广泛重视。本文在总结了过去的分割方法基础上,就目前常用几种分割方法进行实验研究。主要包括阈值分割、LOG算子分割、FCM聚类分割、分水岭分割,并结合CT图像进行图像分割。文章阐述了各种分割方法的概念及原理,并在此基础上对分割结果进行了分析和探讨,得出各种方法的优点和不足。这些实验结论将为后续研究提供科学依据。

Image segmentation is an old and difficult problem in digital image processing.The segmentation quality is directly connected to the image processing follow-up.Therefore in the theoretical study and practical application it attracts researchers＇ extensive attention.In this paper,the current study uses several methods of segmentation,including thresholding segmentation,LOG algorithms segmentation,FCM clustering segmentation,and watershed segmentation.CT images are combined with image segmentation.This paper describes a variety of concepts and principles of segmentation.And the segmentation results are analyzed and discussed.Then it obtains the strengths and weaknesses of various methods and the direction of the main application.Follow-up study of these experimental results will provide a better scientific basis.