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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| 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: | 000337348 |
| 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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