Research Paper | Computer Science & Engineering | India | Volume 5 Issue 9, September 2016
A New Approach to Identify the Fracture Zone and Detection of Bone Diseases of X-ray Image
Tapan Kumar Hazra, Subhadipa Dutta
Abstract: The present paper focuses on analysis of bone x-ray images to identify any abnormality zone for possible bone diseases or fractures. The proposed research work is useful in the field of bio-medical imaging. The proposed work involves image pre-processing steps such as denoising, histogram smoothing, segmentation and edge detection, in order to enhance the given image quality and convert it into denoised image to identify and separate the region of interest (ROI) manually using algorithms for calculating bone mineral density (BMD) value to analyse and identify bone diseases and fracture risk. In this work we have to calculate some Gray Level Co-occurrence Matrix (GLCM) features and other some more features like mean, median and standard deviation are also derived. At the final stage we have created a database of both the normal and eroded bone images by applying BMD and GLCM features for classification and comparison of values in order to determine whether the input image is infected or not.
Keywords: ANN, SVM, confusion matrix, accuracy, precision, recall and specificity
Edition: Volume 5 Issue 9, September 2016,
Pages: 1640 - 1646
How to Cite this Article?
Tapan Kumar Hazra, Subhadipa Dutta, "A New Approach to Identify the Fracture Zone and Detection of Bone Diseases of X-ray Image", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=ART20161989, Volume 5 Issue 9, September 2016, 1640 - 1646
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