Application of Wavelet Transform in 3D Medical Images Segmentation
Ye Yuan · Mini-micro Systems · 2003
In this paper, a method in which multi scale wavelet transform was applied to finish threshold selecting in 3D medical images segmentation was developed. Based on the characteristic in big scale that there are little detail which was caused by noise , and the characteristic that the sketch will be keep in big scale, the zero crossings whose left value are negative and right value are positive in big scale were determined to be the initial thresholds, then the accurate thresholds in small scale will be found gradually. We binarize the image using this method, process the image using properly mathematical morphology operation according to the feature of tissues or regions extracted, then fill the region extracted using seed fill algorithm. The experimental results show that the algorithm is feasible.