Paper Title

A Survey on Different Methods for Superpixel Segmentation

Authors

Renju J Chandran , Gopakumar G , Shyma S Nair

Keywords

Salient object, Superpixel, Discriminability

Abstract

Image segmentation is an important part of image analysis process, since it differentiates between the salient objects and the other objects or from their background. It is the process of dividing digital image into multiple segments and the main aim of segmentation is to pinpoint objects and boundaries. There are different methods for segmenting image, here we are considering the concept of superpixels inorder to segment image. Superpixel can mainly accelerate the successive processing since the superpixels of an image carry more information than a normal pixel. This paper deals with detailed survey on different superpixel segmentation techniques

How To Cite

"A Survey on Different Methods for Superpixel Segmentation", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 2, page no.115 - 120, February-2019, Available :https://ijsdr.org/papers/IJSDR1902020.pdf

Issue

Volume 4 Issue 2, February-2019

Pages : 115 - 120

Other Publication Details

Paper Reg. ID: IJSDR_190098

Published Paper Id: IJSDR1902020

Downloads: 000347031

Research Area: Engineering

Country: Alappuzha, Kerala, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1902020

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1902020

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

Article Preview

academia
publon
sematicscholar
googlescholar
scholar9
maceadmic
Microsoft_Academic_Search_Logo
elsevier
researchgate
ssrn
mendeley
Zenodo
orcid
sitecreex