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Segmentation Techniques based on Image Quality and Edge Detection Algorithms

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Field Value
 
Title Segmentation Techniques based on Image Quality and Edge Detection Algorithms
 
Creator Biševac, Petar
Ivković, Ratko
Spalević, Petar
 
Subject PSNR
ROI
Segmentation
SNR
SSIM
 
Description 432-437
Segmentation is one of the fundamental tasks in the area of digital image processing and analysis. Segmentation highlights
parts of the image that have common features. Such areas of the image are called Region of Interest (ROI). The choice of
segmentation algorithm depends on the nature of the origin images and there is no single, universal method that can always be
applied. When choosing a segmentation algorithm for a particular image, it is very important to test multiple methods and
choose the one that gives the best results. This paper presents a comparison of several segmentation algorithms on different
origin images. The comparison was performed based on standard parameters like Mean-Square Error (MSE), Signal to Noise
Ratio (SNR), Peak Signal-To-Noise Ratio (PSNR), Structure Similarity Index (SSIM) etc. for image quality assessment.
The results of this work can help in the selection of the edge detection algorithm and as a preparation for image segmentation.
 
Date 2023-04-03T09:58:52Z
2023-04-03T09:58:52Z
2023-04
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/61654
https://doi.org/10.56042/jsir.v82i04.72388
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source JSIR Vol.82(04) [April 2023]