@inproceedings{3bfe458e78834c8195b07c596608b1e5,
title = "A self-organizing tree map approach for image segmentation",
abstract = "In this paper, an efficient image segmentation approach by using a self-organizing tree map (SOTM) is proposed. The SOTM neural network is first employed for the coarse segmentation to obtain the global clustering information of the image. Then, a pixel-based classification scheme that utilizes the local features is used to refine the segmentation. The proposed approach considers both global distributions of the image and local pixel characteristics; experimental results clearly show that images can be segmented into meaningful objects or parts. One of the advantages of the proposed approach is that the features used for the coarse segmentation can still be used to help make the final decision of the segmentation.",
author = "Kong, {Hao Song} and Ling Guan and Kung, {Sun Yuan}",
note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; 6th International Conference on Signal Processing, ICSP 2002 ; Conference date: 26-08-2002 Through 30-08-2002",
year = "2002",
doi = "10.1109/ICOSP.2002.1181124",
language = "English (US)",
series = "International Conference on Signal Processing Proceedings, ICSP",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "588--591",
editor = "Baozong Yuan and Xiaofang Tang",
booktitle = "ICSP 2002 - 2002 6th International Conference on Signal Processing, Proceedings",
address = "United States",
}