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  • 标题:BONE FRACTURE DETECTION USING OPENCV
  • 本地全文:下载
  • 作者:SAMUEL FEBRIANTO KURNIAWAN ; I KETUT GEDE DARMA PUTRA ; A.A KOMPIANG OKA SUDANA
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2014
  • 卷号:64
  • 期号:1
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Image processing is important in modern data storage and data transmission especially in progressive transmission of images, video coding (teleconferencing), digital libraries, image database, and remote sensing. The purpose of this project is to find out the accuration of an X-Ray Bone Fracture Detection using Canny Edge Detection Method. Fractured bone is a bone condition that suffered a breakdown of bone integrity. A disconnected connection between two cartilages also categorized as bone fracture. Normally, bones have elasticity and a great number of strength. Bone fracture only happen when the bones took a force beyond their elasticity or strength. This system is built using OpenCV library combined with Canny Edge Detection method to detect the bone fracture. Canny Edge Detection method is an optimal edge detection algorithm on determining the end of a line with changeable threshold and less error rate. The simulation results have shown how canny edge detection can help determine location of fractures in x-ray images.
  • 关键词:Fracture; Edge; Edge Detection; Canny; Threshold; x-ray images.
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