Bone Fraction Detection using Image Segmentation

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2016 by IJETT Journal
Volume-36 Number-2
Year of Publication : 2016
Authors : Tanudeep Kaur, Anupam Garg
DOI :  10.14445/22315381/IJETT-V36P215


Tanudeep Kaur, Anupam Garg"Bone Fraction Detection using Image Segmentation", International Journal of Engineering Trends and Technology (IJETT), V36(2),82-87 June 2016. ISSN:2231-5381. published by seventh sense research group

The fracture can occur in any bone of our body like wrist, ankle, hip, rib, leg, chest etc. The Fracture cannot detect easily by the naked eye, so it is seen in the x-ray images. This Paper represents the fracture detection of the bone x-ray images by using the segmentation, Fuzzy c-means, and Multilevel wavelet algorithms. Bone Fracture detection has become a research area in the medical imaging system. An efficient algorithm is proposed for bone fracture based on thresholding and fuzzy cmean segmentation and morphological operators. In the base paper [1], the fractured portion is selected manually to overcome this drawback, the proposed method detect the bone fracture automatically. The result shows that the proposed method of fracture detection is better. The results show that algorithm is 89.6% accurate and efficient.


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Image Segmentation Methods, Edge Detection, Fractured X-Rays Images, Fuzzy CMeans, Hough Transform and Multilevel Wavelet.