Enhanced Hemisphere Concept for Color Pixel Classification

Van Ng, Terumasa Aoki

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Most of current clustering methods are designed for general purpose other than a specific color pixel classification use. Color Line model representation emerged as the ultimate method for clustering pixels using RGB color components. However, this method is strongly sensitive to the adjustment of input parameters, which cannot conform to the frequent change of image structures and compositions. In this paper, we address this problem by introducing a hemisphere-grid based method for RGB pixel classification. Our method minimizes the reliance on user provided parameters as well as it can dynamically estimate the proper number of clusters. The properly clustering results prove the robustness and advantages of our method in classifying color pixels for unfamiliar input images.

本文言語English
ホスト出版物のタイトルProceedings - 2016 International Conference on Multimedia Systems and Signal Processing, ICMSSP 2016
編集者Chin-Chen Chang, Jeng-Shyang Pan, Young-Chang Hou
出版社Institute of Electrical and Electronics Engineers Inc.
ページ31-35
ページ数5
ISBN(電子版)9781509045198
DOI
出版ステータスPublished - 2016 7月 2
イベント2016 International Conference on Multimedia Systems and Signal Processing, ICMSSP 2016 - New Taipei, Taiwan, Province of China
継続期間: 2016 9月 32016 9月 5

出版物シリーズ

名前Proceedings - 2016 International Conference on Multimedia Systems and Signal Processing, ICMSSP 2016

Other

Other2016 International Conference on Multimedia Systems and Signal Processing, ICMSSP 2016
国/地域Taiwan, Province of China
CityNew Taipei
Period16/9/316/9/5

ASJC Scopus subject areas

  • メディア記述
  • 信号処理

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