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  • 标题:Fuzzy And Level Sets Based Design Approch Fof Brain Tumor Segmentation
  • 本地全文:下载
  • 作者:Ms.Ashwini Thool ; Prof. Prashant R. Indurkar ; Prof.S.M.Sakhare
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2015
  • 卷号:4
  • 期号:11
  • 页码:14917-14920
  • DOI:10.18535/ijecs/v4i11.02
  • 出版社:IJECS
  • 摘要:This paper present deals with the implemention of Image enhancement, Linear contrast stretching, filtered imageand bias field correction also Estimated that image. Normally the Brain can be viewed by the MRI scan or CT scan. MRIscanned image is used for the entire process. The MRI scan is more comfortable than any other scans for diagnosis. It willnot affect the human body, because it doesn’t practice any radiation. Modified fuzzy C means (MFCM) and level setssegmentation based methodology is proposed In future method.It allows with high accuracy and reproducibilitycomparable to segmentation that also reduces the time for analysis also detection of range and shape of tumor in brainMRI Image.
  • 关键词:Magnetic Resonance Image (MRI); Brain tumor;Level set method; K-Means clustering
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