An Efficient and Robust Fracture Detection in Femur Bones
CMAK Zeelan Basha1, G Kalyan Jaya Simha2, Y Vamsi Krishna3
1CMAK Zeelan Basha*,CSE Department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India.
2G Kalyan Jaya Simha, CSE Department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India.
3Y Vamsi krishna,,Computer Science And Engineering Department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India.
Manuscript received on October 13, 2019. | Revised Manuscript received on 24 October, 2019. | Manuscript published on November 10, 2019. | PP: 1954-1957 | Volume-9 Issue-1, November 2019. | Retrieval Number: A5211119119/2019©BEIESP | DOI: 10.35940/ijitee.A5211.119119
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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: There are several bones in the body but the femur is especially the important bone in the body which is from the hip to knee. The Red blood cells(RBC) are created because of bone called femur. In this paper we have given a method to know where the bone has broken by the methods of image processing. We will preprocess the image in order to show the interested domain . In this paper, foreground is taken as our interested domain in order to hide the background details. There are many mathematical and morphological operations which are used for this process, by using these methods and operations we highlight the foreground and the objects in the foreground will be highlighted by using edge detection. The support vector machine in the preprocessed image to know where the bone has fractured and where the bone was not fractured
Keywords: Average Filtering, Median Flitering, Sobel Edge Detection, Canny Edge Detection
Scope of the Article: Theoretical and Applied Fracture Mechanics