文章基本信息

标题：Improved Algorithm for Image Segmentation based on the Three-dimensional Reconstruction of Tumor Images
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作者：Jianning Han ; Quan Zhang ; Peng Yang 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：6
页码：15-24
DOI：10.14257/ijsip.2015.8.6.03
出版社：SERSC
摘要：Recently, more and more researchers have been paying close attention to tumor image processing techniques, in which the tumor image segmentation technology is regarded as the absolute research focus. Given that there exist only one tumor image segmentation algorithm, no further high quality three-dimensional slice can be provided for the later reconstruction of the three-dimensional reconstruction of tumor images. In this paper, we propose an improved segmentation algorithm by combining the fuzzy clustering segmentation with the fuzzy edge enhancement. Finally, the experimental results show that the fuzzy clustering segmentation is highly efficient for dealing with the fuzziness and complexity of brain tissues, and the images after the fuzzy clustering segmentation calculated by the edge detection algorithm of fuzzy enhancement have more clear edges, which provides a solid foundation for further 3D processing and finally helps achieve better 3D visualization effect on brain tumors. Our algorithm provides promising application prospect in the field of the medical image processing.
关键词：Brain tumor images; Watershed algorithm; Fuzzy clustering; Fuzzy ; enhancement; Edge detection