A Study and Analysis of Bone Fracture Detection Methods

Authors

  • A. Hemavathy  Student, Department of Electronics and Communication Engineering Jeppiaar Maamallan Engineering College, Chennai, Tamil Nadu, India
  • S. Agnes Shifani  Assistant Professor Department of Electronics and Communication Engineering Jeppiaar Maamallan Engineering College, Chennai, Tamil Nadu, India
  • G. Ramkumar  Assistant Professor Department of Electronics and Communication Engineering Jeppiaar Maamallan Engineering College, Chennai, Tamil Nadu, India

Keywords:

Bone Fracture, Medical Imaging, Edge Detection, X-ray images.

Abstract

Image processing is famous in modern data storage and data transmission especially in progressive transmission of images, video coding (teleconferencing), digital libraries, image database, and remote sensing. Nowadays image processing is widely used in medical image processing which comprises medical image enhancement and visualization, and edge detection. One of its major applications is fracture detection using X-ray images. Fracture in bone occurs when an external force exercised upon the bone is more than what the bone can tolerate or bear. The fracture can occur in any bone of our body like wrist, heel, ankle, hip, rib, leg, chest etc. In this paper we discuss about the types of bone fracture that commonly occur, types of filters we can remove the noise from degraded image and the edge function is used to detect edges, which are those places in an image that correspond to object boundaries.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-03-23

Issue

Volume 5, Issue 1, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRSET

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
A. Hemavathy, S. Agnes Shifani, G. Ramkumar, " A Study and Analysis of Bone Fracture Detection Methods , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 1, pp.14-19, March-April-2018.