Comparison of Fracture Delineation Methods in Anteroposterior Pelvic Radiographs

  • Ligisha P Department of ECE, MDIT, Kozhikode, Kerala, India.
  • Bhavani S Department of ECE, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India.
Keywords: Image segmentation, RMSE, GOF, GLCM, SSE


Pelvic fractures are very difficult to detect due to the visual complexity of the pelvic bone. Pelvic fracture occurs less frequently, only when there is a high energy event such as fall from a height or vehicle collision. In elder people and in osteoporosis patients even a low energy incident may cause fracture. The paper includes the comparison of three different fracture detection methods – GLCM and ANN based, Statistical curve fitting and classifier based and finally statistical curve fitting and ANN based method.


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Manjari, A. V., GSNS Ajay Kamal, UN Subhadra Devi, and Dr M. Satyanarayana. Detection and classification of Bone Fractures Using GLC Features, International Journal for Research in Applied Science & Engineering Technology (2017) 581-586.

R. Smith, K. Ward, C. Cockrell, J. Ha, & K. Najarian, Detection of fracture and quantitative assessment of displacement measures in pelvic X-RAY images. In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, (2010)682-685.

J. Wu, P. Davuluri, A. Belle, C.H. Cockrell, Y. Tang, K.R. Ward, R.S. Hobson, K. Najarian, Fracture detection and quantitative measure of displacement in pelvic CT images. In2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW), IEEE, (2011) 600-606.

T.C. Anu, M.S. Mallikarjunaswamy, Rajesh Raman, Detection of Bone Fracture using Image Processing Methods, International Journal of Computer Applications, 975 (2015) 8887.

A.S. Chowdhury, J.E. Burns, A. Mukherjee, B. Sen, J. Yao, R.M. Summers, Automated detection of pelvic fractures from volumetric CT images. In2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), IEEE, (2012) 1687-1690.

N.P. Wadker, A. Dessai, Pubic bone fracture and displacement detection using x ray images. International Journal of Electrical and Electronis Engineers, (2017) 1580-1586.

S. Vasilache, & K. Najarian, A unified method based on wavelet filtering and active contour models for segmentation of pelvic CT images. In 2009 ICME International Conference on Complex Medical Engineering, IEEE, (2009) 1-5.

G. Narayanaswamy & Bindu A Thomas, Automatic fracture detection in bone images. International Conference on Signal, Image Processing Communication and Automation, (2017)

H. Kaur, & A. Jain, Detection of Fractures in Orthopedic X-Ray Images, International Journal of Advanced Research in Computer Science, 8(2017) 545-551.

T. Kaur, & A. Garg, Bone fraction detection using image segmentation. nternational Journal of Engineering Trends and Technology, 36(2016) 82-87.

R. Vijayakumar, G. Gireesh. Quantitative analysis and fracture detection of pelvic bone X-ray images. In 2013 fourth international conference on computing, communications and networking technologies (ICCCNT), IEEE, (2013) 1-7.

H.Y., Chai, L.K. Wee, T.T. Swee, & S. Hussain, Gray-level co-occurrence matrix bone fracture detection, WSEAS Transactions on Systems, 10(2011) 7-16.

M. Al-Ayyoub, I. Hmeidi, H. Rababah, Detecting Hand Bone Fractures in X-Ray Images, Journal of Multimedia Processing and Technologies, 4(2013) 155-168.

N. Umadevi, S.N. Geethalakshmi (2012) Bone structure and diaphysis extraction algorithm for X-ray images, International Journal of Advanced Research in Computer science and Software Engineering, 2 (2012) 1-3.

D.B. Bhakare, P.A. Jawalekar, & S.D. Korde, A novel approach for bone fracture detection using image processing. International Research Journal of Engineering and Technology, 5(2018) 193-195.

W.W. Myint, K.S. Tun, H.M. Tun, & H. Myint, Analysis on leg bone fracture detection and classification using X-ray images, Machine Learning Research, 3(2018) 49-59 doi: 10.11648/j.mlr.20180303.11

N. Johari & N.Singh, Bone fracture detection using edge detection Technique, Advances in Intelligent Systems and Computing, (2018) 584.

Maya Deoker, S.N. Patil (2017). A review on osteoporosis detection by using CT images based on gray level co-occurrence matrix and rule based approach. International Journal of Engineering Science and Computing, (2017) 4765-4767.

S. Myint, A.S. Khaing, & H.M. Tun, (2016). Detecting of leg bone fracture in X ray images. International Journal of Scientific & Technology Research, 5 (2016) 140-144.

How to Cite
P, L., & S, B. (2020). Comparison of Fracture Delineation Methods in Anteroposterior Pelvic Radiographs. International Journal of Computer Communication and Informatics, 2(2), 17-29.

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