@inproceedings{c4aacc8217c243bdbd1d4141cfb35c44,
title = "Improving watersheds image segmentation method with graph theory",
abstract = "This paper presents a new image segmentation method -FWTN (First Watershed Then Normalized cut) based on Watersheds and Graph Theory to solve the over-segmentation problem of watersheds. FWTN firstly uses Normalized Cut to segment between regions after applying watersheds, and then generates the final segmented images. The algorithm can successfully solve over-segmentation problem, and at the same time improve the NP-hard problem of Normalized Cut Experimental results show that FWTN is efficient and practical for image segmentation.",
keywords = "Graph theory, Image segmentation, Normalized cut, Watersheds",
author = "Weili Yang and Lei Guo and Tianyun Zhao and Guchu Xiao",
year = "2007",
doi = "10.1109/ICIEA.2007.4318872",
language = "英语",
isbn = "1424407370",
series = "ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications",
pages = "2550--2553",
booktitle = "ICIEA 2007",
note = "2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007 ; Conference date: 23-05-2007 Through 25-05-2007",
}