In this paper,we propose a new edge finding technology to fit to MR images with truncation artifact. In our method,any truncation artifact digit signal can be expressed as the weighted sum of truncated singularity functions (TSF) relatea to the signal singularity locations,and the singularity locations and weight coefficients can be determined by this signal. Edges of MR images with truncation artifacts can be constructed by these singularity locations. False edges due to truncation artifacts can be removed using this method.
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In our method, the existing DBMS is used to manage the knowledge base.
该方法使用现有的DBMS管理知识库。
This problem is solved in our method by producing the extraction filter file dynamically.
这个问题可以通过动态创建提取过滤器文件的方法来解决。
To obtain a stable solution, in our method, successive approximation process is constrained by prior histogram and laplacian regularization.
为了获得稳定而满意的解，我们采用直方图约束下的正则化方法对连续近似迭代进行约束。
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