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A Novel Cinch Automatic Bone Fracture Detection Algorithm

A. Shanthasheela1 , E. Nithya2

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-04 , Page no. 197-202, May-2018

Online published on May 31, 2018

Copyright © A. Shanthasheela, E. Nithya . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: A. Shanthasheela, E. Nithya, “A Novel Cinch Automatic Bone Fracture Detection Algorithm,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.04, pp.197-202, 2018.

MLA Style Citation: A. Shanthasheela, E. Nithya "A Novel Cinch Automatic Bone Fracture Detection Algorithm." International Journal of Computer Sciences and Engineering 06.04 (2018): 197-202.

APA Style Citation: A. Shanthasheela, E. Nithya, (2018). A Novel Cinch Automatic Bone Fracture Detection Algorithm. International Journal of Computer Sciences and Engineering, 06(04), 197-202.

BibTex Style Citation:
@article{Shanthasheela_2018,
author = { A. Shanthasheela, E. Nithya},
title = {A Novel Cinch Automatic Bone Fracture Detection Algorithm},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {06},
Issue = {04},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {197-202},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=380},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=380
TI - A Novel Cinch Automatic Bone Fracture Detection Algorithm
T2 - International Journal of Computer Sciences and Engineering
AU - A. Shanthasheela, E. Nithya
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 197-202
IS - 04
VL - 06
SN - 2347-2693
ER -

           

Abstract

In recent years the computer vision field grown enormously and provides solutions to various other fields particularly like medical domain. Therefore many researchers contributed plenty of algorithms to support diagnosis. This proposed cinch bone fracture detection is a novel, easy, and effective algorithm for bone fracture using object counting in Leg bone or tibia. It automatically detects fracture & non-fracture in a leg bones.

Key-Words / Index Term

Bone fracture, X-ray, Color images, Object Count, Connected Component

References

[1] Lum, V. L. F., Leow, W. K., Chen, Y., Howe, T. S., Png, M. A. , Combining classifiers for bone fracturedetection in x-ray images. In: Image Processing. ICIP. IEEEInternational Conference on, 1, p. I–1149. IEEE. 2005.
[2] Aishwariya, R., Geetha, M.Kalaiselvi. and Archana, M.“Computer- Aided Fracture Detection Of X-Ray Image”‖,
[3] Al-Khaffaf, H., Talib, A. Z., Salam, R. A, 19th International Conference on, p. 1–4. IEEE. (2008). Removing salt-and-pepper noise from binary images of engineering drawings. Pattern Recognition. ICPR.
[4] Digital images. IAENG International Journal of ComputerScience, 37(1).
[5] Caylak, E., 2010. The studies about phonological Deficittheory in children with developmentaldyslexia: Review. Am. J. Neurosci., 1: 1-12. DOI: 10.3844/ajnsp.2010.1.12
[6] Tanudeep Kaur , Anupam Garg. Bone Fraction Detection using Image Segmentation. International Journal of Engineering Trends and Technology (IJETT) – Volume 36 Number 2- June 2016.
[7] Vijaykumar, V., Vanathi, P., Kanagasabapathy P. (2010). Fast and efficient algorithm to remove gaussian noise removal.
[8] Chokkalingam, SP. and Komathy, K. ―Intelligent Assistive Methods for Diagnosis of Rheumatoid Arthritis Using Histogram Smoothing and Feature Extraction of Bone Images‖. Engineering and Technology International Journal of Computer Information Systems and Control Engineering, Vol. 8,Issue .5, pp.834-843,2014
[9] Liang, Jian, et al. "Fracture identification of X-ray image." Wavelet Analysis and Pattern Recognition (ICWAPR), 2010 International Conference on. IEEE, 2010.
[10] Jia,Y.,and Y.Jiang. "Active contour model with Shape constraints for bone fracture detection." Computer Graphics, Imaging and Visualisation, 2006 International Conference on. IEEE, 2006
[11] Mahmoud Al-Ayyoub, Ismail Hmeidi, Haya Rababah. Detecting Hand Bone Fractures in X-Ray Images. Journal of Multimedia Processing and Technologies Volume 4 Number 3 September 2013
[12] Sachin R.Mahajan, P.H.Zope,S.R.Suralkar. Review of AnEnhance Fracture Detection Algorithm Design Using XRaysImage Processing. International Journal of Innovative Research in Science, Engineering and Technology, Vol. 1, Issue 2, December 2012.
[13] Sharma, N. and Aggarwal, L.M. (2010) Automated Medical image segmentation techniques, J Med Phys, Vol.35, Pp.3-14.
[14] Swathika.B1, Anandhanarayanan. K, Baskaran B and Govindaraj R. Radius Bone Fracture Detection UsingMorphological Gradient Based Image Segmentation Technique
[15] Chan, K.P., Fu, A. W.C. Efficient time series matching by wavelets. Data Engineering. In: Proceedings, 15th International Conference on, p. 126– 133. IEEE. ,1999
[16] Anu T C, Mallikarjunaswamy M.S Rajesh Raman. Detection of Bone Fracture using Image Processing Methods. In International Journal of Computer Applications (0975 – 8887).