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Image Segmentation using Clustering Algorithms

by P. Srinivasa Rao, K. Suresh, B. Ravi Kiran
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 14
Year of Publication: 2015
Authors: P. Srinivasa Rao, K. Suresh, B. Ravi Kiran
10.5120/21298-4336

P. Srinivasa Rao, K. Suresh, B. Ravi Kiran . Image Segmentation using Clustering Algorithms. International Journal of Computer Applications. 120, 14 ( June 2015), 36-38. DOI=10.5120/21298-4336

@article{ 10.5120/21298-4336,
author = { P. Srinivasa Rao, K. Suresh, B. Ravi Kiran },
title = { Image Segmentation using Clustering Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 14 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 36-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number14/21298-4336/ },
doi = { 10.5120/21298-4336 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:14.749316+05:30
%A P. Srinivasa Rao
%A K. Suresh
%A B. Ravi Kiran
%T Image Segmentation using Clustering Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 14
%P 36-38
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Pictures are considered as a standout amongst the most imperative medium of passing on information. Understanding pictures and separating the data from them such that the data can be utilized for different undertakings is a critical part of Machine learning. Picture division is the methodology of separating the given picture into districts in light of a few properties. The grouping alludes to methodology of collection tests so that examples are comparative inside every gathering These gatherings are called groups. This undertaking addresses the issue of portioning a picture into distinctive districts. We investigate this issue by utilizing calculations like K-means and chart based calculation standardized cuts. We are going to look at these calculations by their time complexities.

References
  1. Ms. Chinki Chandhok, Mrs. Soni Chaturvedi, Dr. A. A. Khurshid Image Segmentation using K-means Clustering Algorithm International Journal of Information Technology (IJIT), Volume – 1, Issue – 1, August 2012.
  2. Jianbo Shi and Jitendra Malik, Member, IEEE. Normalized Cuts and Image Segmentation IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 22, NO. 8, AUGUST 2000.
  3. R. Yogamangalam et al. Segmentation Techniques Comparison in Image Processing International Journal of Engineering and Technology (IJET).
  4. Oliver, A. ; Munoz, X. ; Batlle, J. ; Pacheco, L. ; Freixenet, J. , "Improving Clustering Algorithms for Image Segmentation using Contour and Region Information," Automation, Quality and Testing, Robotics, 2006 IEEE International Conference on , vol. 2, no. , pp. 315,320, 25-28 May 2006.
  5. Mei Yeen Choong; Wei Yeang Kow; Yit Kwong Chin; Angeline, L. ; Teo, K. T. K. , "Image segmentation via normalised cuts and clustering algorithm," Control System, Computing and Engineering (ICCSCE), 2012 IEEE International Conference.
Index Terms

Computer Science
Information Sciences

Keywords

Image processing Image Segmentation K-Means algorithm Normalized Cut algorithm

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