MR image enhancement algorithm based on threshold and B-spline interpolation
Gang Chen · Computer Engineering and Applications Journal · 2007
A new algorithm for MR image enhancement is proposed.First the bi-threshold segmentation is implemented,in which the gray-level of a MR image will be segmented into three sections:object section,transition section and background section.Second the cubic B-Spline interpolation transform is carried out on the three sections.For the best visual effect,different transforms will be taken for different sections.Then,an assessment criterion based on luminance contrast and detail,which can adjust the weight parameter dynamicly,is proposed for evaluating the image enhancement effect.Finally,the best cubic B-Spline interpolation transformation is searched for ideal enhancement effect.Experimental results show that the algorithm outperforms some other enhancement methods from the view point of the luminance contrast as well as the detail assessment parameter.In addition,the algorithm is interactive,especially suitable for MR image processing.