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Patellar Fracture Analysis Using Segmentation and Global Thresholding Techniques

  • Sarbani Datta
  • Monisha Chakraborty
Part of the Communications in Computer and Information Science book series (CCIS, volume 250)

Abstract

Radiologists identify abnormal pathologies including fractures with a high level of accuracy. However in some cases the examining reader accuracy may show high miss rate while reading X-rays containing abnormalities such as multiple patellar fracture. Accurate diagnosis of fractures is vital to the effective management of patient injuries. As a result, detection of patellar fracture is an important orthopedics and radiologic problem. In this paper, attempt has been made to develop an algorithm which will identify global thresholding ranges for different edge detection operators e.g. Sobel, Prewitt, Canny, Laplacian of Gaussian for analysis of fractured patella, which will help the orthopedic surgeons for analyzing the fracture in a better form than conventional method of diagnosis which is subjective, time consuming and tedious. The processing algorithms are developed on MATLAB 7.6.0 (R2008a) programming platform.

Keywords

X-ray image patellar fracture algorithms segmentation global thresholding 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Sarbani Datta
    • 1
  • Monisha Chakraborty
    • 1
  1. 1.School of Bio-Science and EngineeringJadavpur UniversityKolkataIndia

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