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  • 标题:A Survey on MR Brain Image Segmentation using Hybrid PSO and AFSA
  • 本地全文:下载
  • 作者:Sakshi Kaul ; Ruchita Sharma ; Sakshi Sitoot
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2018
  • 卷号:7
  • 期号:10
  • 页码:10883-10890
  • DOI:10.15680/IJIRSET.2018.0710051
  • 出版社:S&S Publications
  • 摘要:Image Segmentation is a substantial tool which divides the images into various regions of similar attributes. Magnetic Resonance Imaging (MRI) is an important technique for medical diagnosis. Brain tumour is diagnosed at advanced stages using MRI. The objective is to develop an efficient clustering based hybrid algorithm using Swarm Intelligent Techniques such as Particle Swarm Optimization and Artificial Fish Swarm Algorithm to detect Brain tumour in MR Brain Images and to utilize the capability of this algorithm to solve difficult problems in image processing.
  • 关键词:Image Segmentation; MRI images; Clustering; Swarm Intelligent Techniques; Particle Swarm Optimization (PSO); Artificial Fish Swarm Algorithm (AFSA);
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