Identification of Bone Fragmentation in X-Ray Images using Contour Detection Algorithm
S. Agnes Shifani1, G. Ramkumar2, A. Margaret Clemencia3, S. Maheswari4, S. Priyadharshini5
1S. Agnes Shifani, Assistant Professor, Department of Engineering and Communication Engineering, Jeppiaar Maamallan Engineering College, Chennai, India.
2G. Ramkumar, Assistant Professor, Department of Engineering and Communication Engineering, Jeppiaar Maamallan Engineering College, Chennai, India.
3A. Margaret Clemencia, Assistant Professor, Department of Chemistry, Jeppiaar Maamallan Engineering College, Chennai, India.
4S. Maheswari, Associate Professor, Department of Engineering and Communication Engineering, St. Joesph college of Engineering, Chennai, India.
5S. Priyadharshini, Student, Department of Engineering and Communication Engineering, Jeppiaar Maamallan Engineering College, Chennai, India.
Manuscript received on 26 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 2121-2124 | Volume-8 Issue-9, July 2019 | Retrieval Number: I7851078919/19©BEIESP | DOI: 10.35940/ijitee.I7851.078919
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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 crack can occur in any bone ofour body. Broken bone is a bone condition that endured a breakdown of bone trustworthiness. The Fracture can’t recognize effortlessly by the bare eye, so it is found in the x-beam images. The motivation behind this task is to find the precise territory where the bone fracture happens utilizing X-Ray Bone Fracture Detection by Canny Edge Detection Method. Shrewd Edge Detection technique is an ideal edge identification calculation on deciding the finish of a line with alterable limit and less error rate. The reproduction results have indicated how canny edge detection can help decide area of breaks in x-beam images. In the base paper, the cracked bit is chosen physically to defeat this downside, the proposed technique identify the bone fracture consequently and furthermore it quantifies the parameter like length of the crack, profundity of the fracture and the situation of the crack as for even and vertical pivot. The outcome demonstrates that the proposed technique for crack identification is better. The outcomes demonstrate that calculation is 91% exact and effective
Keywords: Edge Detection, Canny Detector, Shape Detection, Crack Detection.
Scope of the Article: Algorithm Engineering