@inproceedings{794c55b3c0b349f88b0e1e7374f735e8,
title = "Enhanced Hemisphere Concept for Color Pixel Classification",
abstract = "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.",
keywords = "RGB clustering, adaptive clustering, hemisphere-grid",
author = "Van Ng and Terumasa Aoki",
year = "2016",
month = jul,
day = "2",
doi = "10.1109/ICMSSP.2016.016",
language = "English",
series = "Proceedings - 2016 International Conference on Multimedia Systems and Signal Processing, ICMSSP 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "31--35",
editor = "Chin-Chen Chang and Jeng-Shyang Pan and Young-Chang Hou",
booktitle = "Proceedings - 2016 International Conference on Multimedia Systems and Signal Processing, ICMSSP 2016",
note = "2016 International Conference on Multimedia Systems and Signal Processing, ICMSSP 2016 ; Conference date: 03-09-2016 Through 05-09-2016",
}