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文章基本信息

  • 标题:Implementation of Unsupervised Learning to Detect Brain Tumour Using MRI As Input
  • 本地全文:下载
  • 作者:Dipti Sinha ; Ms.Babita Kubde
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2012
  • 卷号:2
  • 期号:9
  • 出版社:S.S. Mishra
  • 摘要:The part of the image that has the tumor has more intensity in that portion and we can make our assumptions about the radius of the tumor in the image, these are the basic things considered in the algorithm. First of all some image enhancement and noise reduction techniques are used to enhance the image quality, after that some morphological operations are applied to detect the tumor in the image. The morphological operations are basically applied on some assumptions about the size and shape of the tumor and in the end the tumor is mapped onto the original gray scale image with 255 intensity to make visible the tumor in the image. The algorithm has been tried on a number of different images from different angles and has always given the correct desired result
  • 关键词:object recognition; characteristic vector; edge tracing; feature detection.
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