This paper is published in Volume-7, Issue-3, 2021
Area
Image Processing
Author
Manpreet Kaur, Bharti, Dr. Naveen Dhillon
Org/Univ
Ramgarhia Institute of Engineering and Technology, Phagwara, Punjab, India
Pub. Date
29 June, 2021
Paper ID
V7I3-2205
Publisher
Keywords
Image Processing, Bone Fracture Detection, Medical Imaging, Computer Vision

Citationsacebook

IEEE
Manpreet Kaur, Bharti, Dr. Naveen Dhillon. Diagnosis of Bone Fissure Fracture detection using OpenCV Tool, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Manpreet Kaur, Bharti, Dr. Naveen Dhillon (2021). Diagnosis of Bone Fissure Fracture detection using OpenCV Tool. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Manpreet Kaur, Bharti, Dr. Naveen Dhillon. "Diagnosis of Bone Fissure Fracture detection using OpenCV Tool." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

New technologies are emerging daily in different fields, most employed technologies are in a medical environment. However, still, there are many old techniques that are quite popular, very efficient and also very effective in this manner. X-Rays are one of these techniques that are used for the detection of bone fractures and injuries. But sometimes the size of fractures is not significant and could not be detected easily or when the size of the fracture is too small. Therefore, effective and intelligent systems should be designed to overcome these problems. This paper aims to develop a classification system that would be capable of detecting and classifying bone fractures. The developed system comprises of different principal stages. The images of the fractures are processed using different image processing techniques using OpenCV in order to detect their location and shapes.