Title: A model for comparative analysis of medical bone X-ray images using image segmentation

Authors: Barnali Sahu; Shweta Jena; Alok Kumar Jagadev

Addresses: Department of Computer Science, SOA University, ITER, Khandagiri Square, Bhubaneshwar, Odisha 751003, India ' Department of Computer Science, SOA University, ITER, Khandagiri Square, Bhubaneshwar, Odisha 751003, India ' Department of Computer Science, SOA University, ITER, Khandagiri Square, Bhubaneshwar, Odisha 751003, India

Abstract: Image enhancement is the pre-processing stage of the image processing. The objective is to improve the visual effects and the perception of knowledge in images for viewers and to provide a better input for automated image processing technique. It gives emphasis on the whole or part features of the graphics in the designated image applications to enlarge the objects in the graphics. The enhanced image by use of threshold segmentation method identifies bone fracture in medical X-ray images. In this research work, the image is taken as input and after noise removal, the X-ray image of right hand and hairline bone fracture image is being segmented using simple thresholding, multiple thresholding and optimal thresholding method and compared with each other so as to choose the best technique for threshold image segmentation.

Keywords: medical images; bone x-rays; image segmentation; optimal thresholding; image representation; image enhancement; image processing; bone fractures; hand fractures; hairline fractures; simple thresholding; multiple thresholding.

DOI: 10.1504/IJTMCP.2016.077895

International Journal of Telemedicine and Clinical Practices, 2016 Vol.1 No.3, pp.199 - 208

Received: 16 Jul 2014
Accepted: 18 Aug 2014

Published online: 22 Jul 2016 *

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