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Reseach Article

Multilevel Thresholding using PSO Clustering

by Prasannajit Dash, Maya Nayak
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 18
Year of Publication: 2014
Authors: Prasannajit Dash, Maya Nayak
10.5120/17107-7752

Prasannajit Dash, Maya Nayak . Multilevel Thresholding using PSO Clustering. International Journal of Computer Applications. 97, 18 ( July 2014), 27-32. DOI=10.5120/17107-7752

@article{ 10.5120/17107-7752,
author = { Prasannajit Dash, Maya Nayak },
title = { Multilevel Thresholding using PSO Clustering },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 18 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 27-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number18/17107-7752/ },
doi = { 10.5120/17107-7752 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:24:28.109403+05:30
%A Prasannajit Dash
%A Maya Nayak
%T Multilevel Thresholding using PSO Clustering
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 18
%P 27-32
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Thresholding algorithms are quite easy and effective for bi-level thresholding but in case of multilevel thresholding, the performance becomes unreliable due to complexity in computation because the complexity will exponentially increase. In this approach, multilevel thresholding is done for comparison by taking help of Otsu's clustering method and PSO clustering method. A dendogram of gray levels is created based on histogram of an image. The bottom-up generation of clusters employing a dendogram by the proposed method yields good separation of the clusters and obtains a robust estimate of the threshold. Such cluster organization will yield a clear separation between object and background even for the case of nearly unimodal or multimodal histogram. Since the hierarchical clustering method performs an iterative merging operation, it is extended to multi-level thresholding problem by eliminating grouping of clusters when the pixel values are obtained from the expected number of clusters.

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Index Terms

Computer Science
Information Sciences

Keywords

segmentation thresholding pso-clustering histogram Otsu's clustering dendogram