Back to Search Start Over

A Review on Image Segmentation Techniques and Performance Measures

Authors :
Gwet, David Libouga Li
Otesteanu, Marius
Libouga, Ideal Oscar
Bitjoka, Laurent
Popa, Gheorghe D.
Publication Year :
2018
Publisher :
Zenodo, 2018.

Abstract

Image segmentation is a method to extract regions of interest from an image. It remains a fundamental problem in computer vision. The increasing diversity and the complexity of segmentation algorithms have led us firstly, to make a review and classify segmentation techniques, secondly to identify the most used measures of segmentation performance and thirdly, discuss deeply on segmentation philosophy in order to help the choice of adequate segmentation techniques for some applications. To justify the relevance of our analysis, recent algorithms of segmentation are presented through the proposed classification.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....4628352cac45e943ec9b7ade21304d4b
Full Text :
https://doi.org/10.5281/zenodo.2579976