Brain MRI Segmentation for Tumor Detection using Grammatical Swarm Based Clustering Algorithm

被引：0
|
作者：
Si, Tapas [1 ]
De, Arunava [2 ]
Bhattacharjee, Anup Kumar [3 ]
机构：
[1] BU Inst Engn, Dept CSE, Bankura, WB, India
[2] Dr BC Roy Engn Coll, Dept IT, Durgapur, W Bengal, India
[3] Natl Inst Technol, Dept ECE, Durgapur, W Bengal, India
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON CIRCUIT, POWER AND COMPUTING TECHNOLOGIES (ICCPCT-2014) | 2014年
关键词：
Magnetic Resonance Image; Brain MRI; Discrete Wavelet Transform; soft thresholding; Grammatical Swarm; Particle Swarm Optimizer; clustering; segmentation; tumor; IMAGE SEGMENTATION;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents segmentation of brain's Magnetic Resonance image for tumor detection using Grammatical Swarm based clustering algorithm. Grammatical Swarm is a variant of Grammatical Evolution which can generate computer programs. First, MR images of brain are de-noised using Discrete Wavelet Transform based soft-thresholding technique. Grammatical Swarm based clustering algorithm is developed to segment the de-noised images to separate the mass lesion or tumor from the non-diseased objects in the image.
引用
收藏
页码：1196 / 1201
页数：6
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