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Cited by 42Medical Image Segmentation TechniquesImage Retrieval and Classification TechniquesRemote-Sensing Image Classification

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A pixel-based color image segmentation using support vector machine and fuzzy -means

Wang, Xiang-Yang, Zhang, Xian-Jin, Yang, Hong-Ying, Bu, Juan·2012·Neural Networks
DOI 10.1016/j.neunet.2012.04.012
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Abstract

Image segmentation is an important tool in image processing and can serve as an efficient front end to sophisticated algorithms and thereby simplify subsequent processing. In this paper, we present a pixel-based color image segmentation using Support Vector Machine (SVM) and Fuzzy C-Means (FCM). Firstly, the pixel-level color feature and texture feature of the image, which is used as input of the SVM model (classifier), are extracted via the local spatial similarity measure model and Steerable filter. Then, the SVM model (classifier) is trained by using FCM with the extracted pixel-level features. Finally, the color image is segmented with the trained SVM model (classifier). This image segmentation can not only take full advantage of the local information of the color image but also the ability of the SVM classifier. Experimental evidence shows that the proposed method has a very effective computational behavior and effectiveness, and decreases the time and increases the quality of color image segmentation in comparison with the state-of-the-art segmentation methods recently proposed in the literature.

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Research works printed but not linked: 27

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Metadata

Authors
Wang, X.-Y., Zhang, X.-J., Yang, H.-Y., & Bu, J.
Affiliations
Liaoning Normal University (CN)
Venue
Neural Networks
Publisher
Elsevier BV
Published
2012-09
Volume
33
Pages
148-159
ISSN
0893-6080 (ISSN-L)
DOI
10.1016/j.neunet.2012.04.012
OpenAlex
W2139662573
Cited by
42
References
0
Citations by year
2024: 2 · 2023: 2 · 2022: 6 · 2021: 2 · 2020: 2 · 2019: 6 · 2018: 1 · 2017: 4 · 2016: 8 · 2015: 1 · 2014: 5 · 2013: 2 · 2012: 1
FWCI
2.97
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Neural Networks (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Remote-Sensing Image Classification
Keywords
color image segmentation, pixel-level segmentation, support vector machine, fuzzy c-means clustering, texture features, steerable filters, color features, pixel classification
MeSH terms
Color Perception, Humans, Pattern Recognition, Automated, Photic Stimulation, Fuzzy Logic, Support Vector Machine

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CoChat. (2026). Citation check: A pixel-based color image segmentation using support vector machine and fuzzy -means. https://app.cochat.ai/papers/10.1016/j.neunet.2012.04.012
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Wang, X.-Y., Zhang, X.-J., Yang, H.-Y., & Bu, J. (2012). A pixel-based color image segmentation using support vector machine and fuzzy -means. Neural Networks. https://doi.org/10.1016/j.neunet.2012.04.012