Anandakumar Haldorai, Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, India.
Shrinand Anandakumar, The PSBB Millennium School, Coimbatore, India.
International Journal of Advanced Information and Communication Technology
Received On : 12 April 2021
Revised On : 26 June 2021
Accepted On : 25 August 2021
Published On : 05 October 2021
Volume 08, Issue 10
Pages : 205-212
Abstract
Medical image segmentation is considered the most precarious element in the analysis and processing of real-life images in the clinical sector. Actually, segmentation effects affect the subsequent procedures of image evaluation, life object illustration and description, feature dimensions and the subsequent considerable task levels such as object categorization. In that case, medical image segmentation is the most essential and crucial aspect for aiding the visualization, delineation and depiction of regions of interest for any particular image. The aspect of physical segmentation of a picture is not just challenging and time-consuming task to do, but also problematic to assure accuracy considering the wide-range image modalities and unguided image quantities which have to be observed. In that case, it now becomes fundamental to evaluate the present approaches of image segmentation based on the application of computing algorithms which require the interaction of users with evaluating medical images. In the process of image segmentation, an anatomic classification requires to be extracted or defined to be projected effectively and independently. In that case, this contribution is focused on image segmentation to extract details for decision-making in the clinical sector. The paper presents generalized and relative techniques that have been categorized into three groups: pixel-centre, edge-centred and region-centred techniques. The paper also provides a highlight of the strengths and weaknesses of these techniques in reference to the appropriateness of a wide-range application in medical image segmentation.
Keywords
Medical Image Segmentation; Pixel-Centre; Edge-Centred; Region-Centred.
Cite this article
Anandakumar Haldorai, Shrinand Anandakumar, “Image Segmentation and the Projections of Graphic Centred Approaches in Medical Image Processing, ” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp. 205-212, October. 2021.
Copyright
© 2021 Anandakumar Haldorai, Shrinand Anandakumar. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.