Medical Image Segmentation Using Minkowski Algorithm

Authors

  • Prince Pratap Singh Banjare  Bhilai Institute of Technology, Durg, Chhattisgarh, India
  • Dr. Sunita Soni  Bhilai Institute of Technology, Durg, Chhattisgarh, India
  • Prof. Shankha De  Bhilai Institute of Technology, Durg, Chhattisgarh, India

Keywords:

Medical image processing (MIP), medical diagnosis, MIP methods and applications

Abstract

Picture segmentation can be a way of segmentation of a image into completely exceptional gadgets. There's a primary difference between picture partials and spoliation. In picture breaking into pieces approach is to segmentation the taken photo quality with connection to photo appearance (brightness, contrast, texture).On this segmentation technique, the actual part of a picture is highlighted in line with the problem mentioned. Right here during this paper we will be predisposed to peer the performance of the numerous steps to creation for various images. Medical photo procedure dreams non-stop upgrades in terms of techniques and packages to assist improve fine of offerings in health care business. The strategies used for interpolation, photograph nomination, zipping for adjusting size, prognosis vicinity unit to be stepped forward to be processing with developing needs inside the commercial enterprise and growing technologies referring to mobile computing field and cloud computing fields. The mixture of scientific devices and packages with sharable devices is moreover introducing space for extra evaluation. This paper affords beneficial insights into the parts of science image segmentation system and attempts to outline the very long time consuming term scope of segmentation.

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Published

2023-04-30

Issue

Section

Research Articles

How to Cite

[1]
Prince Pratap Singh Banjare, Dr. Sunita Soni, Prof. Shankha De, " Medical Image Segmentation Using Minkowski Algorithm, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 2, pp.34-43, March-April-2023.