Applied Bimatics - An Informatics & eHealth Blog

I am a clinician with a passion for informatics. This blog is about my eHealth journey exploring interoperability in Electronic Medical Records (EMR/EHR), Patient Safety, Pharmacovigilance, Data Analytics, Clinical Research and Bioinformatics in a clinical context. Comparing Canadian, Indian and Middle Eastern healthcare systems and services. Join our open facebook group here:

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

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.

By Barnali Sahu; Shweta Jena; Alok Kumar Jagadev in International Journal of Telemedicine and Clinical Practices (IJTMCP), 2016 Vol. 1 No. 3, pp. 199 - 208

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About Me

As a Dermatologist and Informatician my research mainly involves application of bioinformatics techniques and tools in dermatological conditions. However my research interests are varied and I have publications in areas ranging from artificial intelligence, sequence analysis, systems biology, ontology development, microarray analysis, immunology, computational biology and clinical dermatology. I am also interested in eHealth, Health Informatics and Health Policy.


Bell Raj Eapen
Hamilton, ON