Identification of Bone Fracture using Image Processing

Authors

  • Rocky S Upadhyay  Research Scholar, Computer Science and Engineering, Madhav University, Sirohi, Rajasthan, India
  • Dr. Prakash Singh Tanwar  Head, Department of CSE & CSA, Madhav University, Sirohi, Rajasthan, India

DOI:

https://doi.org//10.32628/CSEIT206478

Keywords:

Bone Fracture, Noise Removal, Image Processing.

Abstract

In current period, broken bones is a typical problem in normal human happens because of high weight is applied on bone or basic mishap and furthermore because of cancer of bone and osteoporosis. So, the exact determination of bone crack is significant viewpoints in therapeutic arena. From this research X-beam/CT pictures are utilized for object crack analysis. The picture handling systems are helpful for some applications, for example, science, security, satellite symbolism, individual photograph, medicine, etc. The techniques of picture handling, for example, picture upgrade, picture division and highlight extraction are utilized for crack recognition system. This paper utilizes canny edge location strategy for segmentation. Canny strategy produces ideal data from the bone picture. The principle point of this examination is to recognize human lower leg bone crack from X-Ray images. The tests we lead show that the proposed framework is precise and ef?cient.

References

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Published

2020-03-01

Issue

Section

Research Articles

How to Cite

[1]
Rocky S Upadhyay, Dr. Prakash Singh Tanwar, " Identification of Bone Fracture using Image Processing, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.551-557, March-April-2020. Available at doi : https://doi.org/10.32628/CSEIT206478