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  • 标题:Edge Detection of MRI Scan Neck Image Using Canny Edge Detection Algorithm Based on Density of Edge Length
  • 本地全文:下载
  • 作者:J.Anish Jafrin Thilak ; Dr.P.Suresh ; N.Subramani
  • 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:2017
  • 卷号:6
  • 期号:2
  • 页码:2928
  • DOI:10.15680/IJIRSET.2017.0602158
  • 出版社:S&S Publications
  • 摘要:Neck is robot part for human. The robotic platform of the neck bone was surrounded by muscles likesteel spring the neck has a significant amount of movement and supports the weight of the head, but it is less protectedthan the rest of the neck, the neck can be vulnerable to injury and disorders that produce pain and restrict motion. Inthis work Density of Edge Length based Canny Edge Detection Algorithm has been proposed to pre processing ofboundary detection of the MRI Scan Neck image. To find the correct boundary in noisy image of neck is still a difficultone. The proposed Canny Edge Detection algorithm has been used to detect the boundaries of neck image from thenoisy image. The performance of proposed technique has been verified and validated with the standard medical values.The results show that the proposed technique performs well and produced very near to the optimal solution. Thismethod is robust for all kinds of noisy images.
  • 关键词:MRI Scan; Neck image; Edge Length and Canny Edge Detection Algorithm
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