Leg bone fracture segmentation and detection using advanced morphological techniques

Citations of this article
Mendeley users who have this article in their library.
Get full text


The bone fracture is the most common problem and is likely to occur due to traumatic incidents like vehicle accidents, sporting injuries or due to conditions like osteoporosis, cancer related to bones. Fracture cannot be viewed by naked eye and so X-ray, CT, ultrasound, MRI images are used to detect it. These images cannot be diagnosed directly and henceforth image processing plays a very important role in fracture detection. This paper presents an image processing technique that uses Laplacian method of edge detection for accurate identification of fractured bone area from the X-ray/CT images. From the fractured bone area several parameters like mean, standard deviation are calculated in order to analyze the accuracy and sensitivity of the used technique. NIVISION assistant software is used and the statistical parameters are calculated.




Sudha Rani, K., Mani Kumari, K., Amulya, G., Pothineni, E., Pavani, V., & Reddy, P. S. (2019). Leg bone fracture segmentation and detection using advanced morphological techniques. International Journal of Recent Technology and Engineering, 8(2 Special issue 3), 1246–1249. https://doi.org/10.35940/ijrte.B1233.0782S319

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free