Manuscript Number : CSEIT1217653

Image Segmentation Techniques with Machine Learning

Authors(2) :-Raksha S Kale, Dr. Surabhi Thorat

Image segmentation is the fundamental step to analyze images and extract data from them. This paper concentrates on the idea behind the basic methods used. Image segmentation is the process of partitioning a digital image into multiple segments(i. e. sets of pixels). The goal of segmentation is to simplify or change the representation of an image into something that is more meaningful and easier to analyze. Segmentation is typically used to locate objects and boundaries(line, curve) in image. The Image segmentation is a set of segments that collectively cover the entire image. Each of pixels in a region are similar with respect to some characteristics colour, intensity or texture. The various segmentation techniques discussed in this paper.

Authors and Affiliations

Raksha S Kale
Masters in Computer Science, Somaiya University, Mumbai, Maharashtra, India
Dr. Surabhi Thorat
Department of Computer Science, Somaiya University, Mumbai, Maharashtra, India

Segmentation, Edge detection, Thresholding, Clustering, Region Based.

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Publication Details

Published in : Volume 7 | Issue 6 | November-December 2021
Date of Publication : 2021-12-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 232-235
Manuscript Number : CSEIT1217653
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Raksha S Kale, Dr. Surabhi Thorat, "Image Segmentation Techniques with Machine Learning", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 6, pp.232-235, November-December-2021. Available at doi : https://doi.org/10.32628/CSEIT1217653
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