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IJSTR >> Volume 5 - Issue 6, June 2016 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Detecting Leg Bone Fracture In X-Ray Images

[Full Text]

 

AUTHOR(S)

San Myint, Aung Soe Khaing, Hla Myo Tun

 

KEYWORDS

X-Ray images, Leg bone, Image processing, Fracture detection.

 

ABSTRACT

The image processing techniques are very useful for many applications such as biology, security, satellite imagery, personal photo, medicine, etc. The procedures of image processing such as image enhancement, image segmentation and feature extraction are used for fracture detection system.This paper uses Canny edge detection method for segmentation.Canny method produces perfect information from the bone image. The main aim of this research is to detect human lower leg bone fracture from X-Ray images. The proposed system has three steps, namely, preprocessing, segmentation, and fracture detection. In feature extraction step, this paper uses Hough transform technique for line detection in the image. Feature extraction is the main task of the system. The results from various experiments show that the proposed system is very accurate and efficient.

 

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