Bone Fracture Detection System
Here we proposed an automated techniques and methods to detect fracture.
X-ray images are examined manually but it is time consuming and prone to
errors. As X-ray images are more suspected to noise we used many preprocessing
steps to remove noise and blur from image. Thus, system is able to detect
fracture more accurately. System detects fracture based on the type of
fracture. Noise is removed from the image and image is transformed to clearer
image so that system can easily detect fracture. We used image processing
methodology to track bone. All unwanted as well as smaller objects are removed
by the system. Finally based on the connected component, system detects
fracture. System displays bounding box around the fracture. This system
involves image preprocessing steps and fracture detection based on type of
fracture. The proposed system is able to detect bone dislocation with 80%
success rate and bone major fracture 60-70% accuracy and minor fracture with
50-60% accuracy.
Features:
·
Orthopedic
Surgeon must provide the image of bone fracture. System will use image
processing tools and remove all unwanted images from the objects.
·
System
will provide appropriate number of cracks occurred on bone due to bone
fracture.
·
System
will detect whether the bone fracture or not.
·
This
system saves time of the orthopedic surgeon and he can treat the patient
faster.
Software:
Version: Matlab R2013a
Hardware:
·
i3 Processor
·
Operating system: Windows 7 and above
Advantages:
·
Saves
Time
·
Provides
accurate result
Disadvantages:
·
Works
only on good quality images
Application:
·
Orthopedic
Surgeons
IEEE Links:
·
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6204644&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6204644
·
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6726590&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6726590
