|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 120 - Issue 14 |
| Published: June 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 },
year = { 2015 },
volume = { 120 },
number = { 14 },
pages = { 36-38 },
doi = { 10.5120/21298-4336 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A P. Srinivasa Rao
%A K. Suresh
%A B. Ravi Kiran
%T Image Segmentation using Clustering Algorithms%T
%J International Journal of Computer Applications
%V 120
%N 14
%P 36-38
%R 10.5120/21298-4336
%I Foundation of Computer Science (FCS), NY, USA
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.