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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Volume 8 | Issue 1

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Published Paper Details
Paper Title: Bone fracture detection using Image Processing
Authors Name: Peruri Srinivasulu , Jollu Vamsi , Kattubadi Drutesh , Gandham Prudhvi
Unique Id: IJSDR2006054
Published In: Volume 5 Issue 6, June-2020
Abstract: The image processing technique is extremely helpful for several applications like biomedical, security, satellite imaging, personal image, medicine, etc. The implementation of image processing such as image enhancement and feature segmentation and feature excitation are used for fracture detection. This paper uses canny edge detection methodology for segmentation. The canny method produces perfect information from the bone image. The main aim of this research is to detect Bone fractures using image processing using MATLAB. The proposed system has the following steps, namely, preprocessing, segmentation, and fracture detection.in feature excitation step, the paper uses to Hough Transform technique for line detection inline-image. feature extraction is the main task of the system. the results from various experiments show that the proposed system is very accurate and efficient
Keywords: Image Processing, Biomedical Application, Fracture Identification, Hough Transform, Canny Edge Detection.
Cite Article: "Bone fracture detection using Image Processing", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 6, page no.329 - 334, June-2020, Available :http://www.ijsdr.org/papers/IJSDR2006054.pdf
Downloads: 000201506
Publication Details: Published Paper ID: IJSDR2006054
Registration ID:191939
Published In: Volume 5 Issue 6, June-2020
DOI (Digital Object Identifier):
Page No: 329 - 334
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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