Recognition of X-rays bones: Challenges in the Past, Present and Future
Mahima Shanker Pandey1, Sudhir Singh Soam2, Surya Prakash Tripathi3
1Mahima Shanker Pandey, Computer Science and Engineering Department , Institute of Engineering And Technolgy, Sitapur Road Lucknow Uttar Pradesh, India.
2Dr.Sudhir Singh Soam, Computer Science and Engineering Department , Institute of Engineering And Technolgy, Sitapur Road Lucknow Uttar Pradesh, India.
3Dr.Surya Prakash Tripathi, Computer Science and Engineering Department , Institute of Engineering And Technolgy, Sitapur Road Lucknow Uttar Pradesh, India
Manuscript received on 02 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 1958-1966 | Volume-8 Issue-10, August 2019 | Retrieval Number: J92850881019/2019©BEIESP | DOI: 10.35940/ijitee.J9285.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image processing tool is a key role in medical uses, by extracting anatomical features the contouring of the regions from medical images. The discovery of bone sketch from X-ray images has recently introduced a new dimension in the literature as it proves to be an important step of radiological imaging analysis. X-ray images are segmented to study bone skeleton where the image is split into several parts, to examine the fracture of bones, and to plan for treatment before surgery. This report’s, purpose is to survey digital image splitting methods. In image segmentation, research analysis is important for categories and it is important to provide an overview of assistive segmentation techniques with highlighting advantage and disadvantage.
Keywords: Edge Detection, Medical imaging, Medical image segmentation, Wrist X-Ray Processing,
Scope of the Article: Pattern Recognition