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  • 标题:Long Bone Fracture Detection of X-ray Image
  • 本地全文:下载
  • 作者:VIJAYLAXMI CHOUGALE ; S.F.RODD
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2021
  • 卷号:9
  • 期号:7
  • 页码:8574-8581
  • DOI:10.15680/IJIRCCE.2021.0907126
  • 语种:English
  • 出版社:S&S Publications
  • 摘要:Nowadays the accident rates are increasing progressively or we can say it’s increasing day by day. In India every day, we have 415 deaths in accidents, the highest in the world and bone fracture is a common problem because of many reasons. Moreover, we know that bone is unyielding, inflexible and strong part of our human body system. So it is very necessary that, bone fracture is taken in account soberly. In this work, we have proposed automatic system that classifies the bone is fractured or not and also it helps in decreasing task or burden of a surgeon by picking out the simple case. In this paper, we are also going to classify that which type of unhealthy of bone in an input x-ray figure. This can be done in three steps: they are pre-processing, feature extraction and the final step is classification. We are using MATLAB programming software for the implementation with far reaching of image processing mechanism environs.
  • 关键词:Image sharpening;Neural Network;Pre-processing;Hough transform;Harris corner detection
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