IMAGE MINING EFFECT USING GAUSSIAN SMOOTH IN BRAIN TUMOR INCREASING THE SEGMENTING ACCURACY (I- MENINGIOMA)
作者: Prof. P.Senthil
刊名: Journal of Computer - JoC, 2016, Vol.1 (2)
来源数据库: Journal of Computer
关键词: FCM Clusterbrain MRIimage segmentationmeningiomaswhiter matter
原始语种摘要: The accurate and effective algorithm for segmenting image is very useful in many fields, especially in medical image. In this paper we introduced a novel method that focus on segmenting the brain MR Image that is important for neural diseases. Because of many noises embedded in the acquiring procedure, such as eddy currents, susceptibility artifacts, rigid body motion, and intensity inhomogeneity, segmenting the brain MR image is a difficult work. In this sushisen algorithm, we overcame the inhomogeneity shortage, by modifying the objective function with compensating its meningiomas immediate neighborhood effect using Gaussian smooth method for decreasing the influence of the inhomogeneity and increasing meningiomas the segmenting accuracy. With simulate image and the clinical MRI 2016...
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关键词翻译
关键词翻译
  • segmenting 分段
  • image 
  • simulate 模拟
  • algorithm 算法
  • accurate 精确的
  • inhomogeneity 不均匀性
  • neighborhood 邻域
  • motion 运动
  • acquiring 瞄准
  • procedure 手续