Open AccessAn Efficient and Robust Fracture Detection in Femur Bones
Author(s) -
Cmak Zeelan Basha,
G Kalyan Jaya Simha,
Y Vamsi krishna
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a5211.119119
Subject(s) - femur , computer science , artificial intelligence , computer vision , domain (mathematical analysis) , enhanced data rates for gsm evolution , process (computing) , image processing , image (mathematics) , edge detection , mathematics , medicine , surgery , mathematical analysis , operating system
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