Leg Bone Fracture Segmentation and Detection using Advanced Morphological Techniques
K. Sudha Rani1, K. Mani Kumari2, Ganti Amulya3, Eswar Pothineni4, Velagapudi Pavani5, P. Susvitha Reddy6

1K. Sudha Rani, Associate Professor, VNR VJIET, Pragathi Nagar, Hyderabad (Telangana), India.
2K. Mani Kumari, Vardhaman College of Engineering, Nagarguda Shamshabad Road, Kacharam, Hyderabad (Telangana), India.
3Ganti Amulya, UG Student, VNR VJIET, Pragathi Nagar, Hyderabad (Telangana), India.
4Eswar Pothineni, UG Student, VNR VJIET, Pragathi Nagar, Hyderabad (Telangana), India.
5Velagapudi Pavani, UG Student, VNR VJIET, Pragathi Nagar, Hyderabad (Telangana), India.
6P. Susvitha Reddy, UG Student, VNR VJIET, Pragathi Nagar, Hyderabad (Telangana), India.
Manuscript received on 23 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 1246-1249 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B12330782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1233.0782S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The bone fracture is the most common problem and is likely to occur due to traumatic incidents like vehicle accidents, sporting injuries or due to conditions like osteoporosis, cancer related to bones. Fracture cannot be viewed by naked eye and so X-ray, CT, ultrasound, MRI images are used to detect it. These images cannot be diagnosed directly and henceforth image processing plays a very important role in fracture detection. This paper presents an image processing technique that uses Laplacian method of edge detection for accurate identification of fractured bone area from the X-ray/CT images. From the fractured bone area several parameters like mean, standard deviation are calculated in order to analyze the accuracy and sensitivity of the used technique. NIVISION assistant software is used and the statistical parameters are calculated.
Keywords: Segmentation, Histogram, Morphological Operations.
Scope of the Article: Advanced Computer Networking