Cover Image

A comparative study of interactive segmentation with different number of strokes on complex images

Interactive image segmentation is the way to extract an object of interest with the guidance of the user. The guidance from the user is an iterative process until the required object of interest had been segmented. Therefore, the input from the user as well as the understanding of the algorithms bas...

Full description

Saved in:
Bibliographic Details
Main Authors: Kok, Luong Goh, Giap, Weng Ng, Muzaffar Hamzah, Soo, See Chai
Format: Article
Language:English
Published: Indonesian Society for Knowledge and Human Development 2020
Subjects:
TJ Mechanical engineering and machinery
Online Access:https://eprints.ums.edu.my/id/eprint/25596/1/A%20comparative%20study%20of%20interactive%20segmentation%20with%20different%20number%20of%20strokes%20on%20complex%20images.pdf
https://eprints.ums.edu.my/id/eprint/25596/
https://doi.org/10.18517/ijaseit.10.1.10240
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ums.eprints.25596
record_format eprints
spelling my.ums.eprints.255962021-04-08T14:11:20Z https://eprints.ums.edu.my/id/eprint/25596/ A comparative study of interactive segmentation with different number of strokes on complex images Kok, Luong Goh Giap, Weng Ng Muzaffar Hamzah Soo, See Chai TJ Mechanical engineering and machinery Interactive image segmentation is the way to extract an object of interest with the guidance of the user. The guidance from the user is an iterative process until the required object of interest had been segmented. Therefore, the input from the user as well as the understanding of the algorithms based on the user input has an essential role in the success of interactive segmentation. The most common user input type in interactive segmentation is using strokes. The different number of strokes are utilized in each different interactive segmentation algorithms. There was no evaluation of the effects on the number of strokes on this interactive segmentation. Therefore, this paper intends to fill this shortcoming. In this study, the input strokes had been categorized into single, double, and multiple strokes. The use of the same number of strokes on the object of interest and background on three interactive segmentation algorithms: i) Nonparametric Higher-order Learning (NHL), ii) Maximal Similarity-based Region Merging (MSRM) and iii) Graph-Based Manifold Ranking (GBMR) are evaluated, focusing on the complex images from Berkeley image dataset. This dataset contains a total of 12,000 test color images and ground truth images. Two types of complex images had been selected for the experiment: image with a background color like the object of interest, and image with the object of interest overlapped with other similar objects. This can be concluded that, generally, more strokes used as input could improve image segmentation accuracy. Indonesian Society for Knowledge and Human Development 2020 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/25596/1/A%20comparative%20study%20of%20interactive%20segmentation%20with%20different%20number%20of%20strokes%20on%20complex%20images.pdf Kok, Luong Goh and Giap, Weng Ng and Muzaffar Hamzah and Soo, See Chai (2020) A comparative study of interactive segmentation with different number of strokes on complex images. International Journal on Advanced Science, Engineering and Information Technology, 10 (1). pp. 178-184. ISSN 2088-5334 https://doi.org/10.18517/ijaseit.10.1.10240
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Kok, Luong Goh
Giap, Weng Ng
Muzaffar Hamzah
Soo, See Chai
A comparative study of interactive segmentation with different number of strokes on complex images
description Interactive image segmentation is the way to extract an object of interest with the guidance of the user. The guidance from the user is an iterative process until the required object of interest had been segmented. Therefore, the input from the user as well as the understanding of the algorithms based on the user input has an essential role in the success of interactive segmentation. The most common user input type in interactive segmentation is using strokes. The different number of strokes are utilized in each different interactive segmentation algorithms. There was no evaluation of the effects on the number of strokes on this interactive segmentation. Therefore, this paper intends to fill this shortcoming. In this study, the input strokes had been categorized into single, double, and multiple strokes. The use of the same number of strokes on the object of interest and background on three interactive segmentation algorithms: i) Nonparametric Higher-order Learning (NHL), ii) Maximal Similarity-based Region Merging (MSRM) and iii) Graph-Based Manifold Ranking (GBMR) are evaluated, focusing on the complex images from Berkeley image dataset. This dataset contains a total of 12,000 test color images and ground truth images. Two types of complex images had been selected for the experiment: image with a background color like the object of interest, and image with the object of interest overlapped with other similar objects. This can be concluded that, generally, more strokes used as input could improve image segmentation accuracy.
format Article
author Kok, Luong Goh
Giap, Weng Ng
Muzaffar Hamzah
Soo, See Chai
author_facet Kok, Luong Goh
Giap, Weng Ng
Muzaffar Hamzah
Soo, See Chai
author_sort Kok, Luong Goh
title A comparative study of interactive segmentation with different number of strokes on complex images
title_short A comparative study of interactive segmentation with different number of strokes on complex images
title_full A comparative study of interactive segmentation with different number of strokes on complex images
title_fullStr A comparative study of interactive segmentation with different number of strokes on complex images
title_full_unstemmed A comparative study of interactive segmentation with different number of strokes on complex images
title_sort comparative study of interactive segmentation with different number of strokes on complex images
publisher Indonesian Society for Knowledge and Human Development
publishDate 2020
url https://eprints.ums.edu.my/id/eprint/25596/1/A%20comparative%20study%20of%20interactive%20segmentation%20with%20different%20number%20of%20strokes%20on%20complex%20images.pdf
https://eprints.ums.edu.my/id/eprint/25596/
https://doi.org/10.18517/ijaseit.10.1.10240
_version_ 1760230388557414400
score 13.223943

Similar Items