Long-Bone Fracture Detection in Digital X-ray Images Based on Concavity Index

  • Oishila Bandyopadhyay
  • Arindam Biswas
  • Bhargab B. Bhattacharya
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8466)


Fracture detection is a crucial part in orthopedic X-ray image analysis. Automated fracture detection for the patients of remote areas is helpful to the paramedics for early diagnosis and to start an immediate medical care. In this paper, we propose a new technique of automated fracture detection for long-bone X-ray images based on digital geometry. The method can trace the bone contour in an X-ray image and can identify the fracture locations by utilizing a novel concept of concavity index of the contour. It further uses a new concept of relaxed digital straight line (RDSS) for restoring the false contour discontinuities that may arise due to segmentation or contouring error. The proposed method eliminates the shortcomings of earlier fracture detection approaches that are based on texture analysis or use training sets. Experiments with several digital X-ray images reveal encouraging results.


Medical imaging Bone X-ray Chain code Digital straight line segment (DSS) Approximate digital straight line segment (ADSS) 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Oishila Bandyopadhyay
    • 1
  • Arindam Biswas
    • 1
  • Bhargab B. Bhattacharya
    • 2
  1. 1.Department of Information TechnologyBengal Engineering and Science UniversityHowrahIndia
  2. 2.Center for Soft Computing ResearchIndian Statistical InstituteKolkataIndia

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