@inproceedings{452b8571127148acb2c4c284e588b459,
title = "A new image segmentation method via fusing NCut eigenvectors maps",
abstract = "This paper presents a new image segmentation method via fusing Normalized Cut (NCut) eigenvector maps. In this method, we fuse the eigenvector maps by maximizing the salient contour signals and suppress the non-maximum ones. Then, we use OWT-UCM method to produce the image segmentation from the soft contour map generated from the fused eigenvector maps and local contour cues. We evaluate our segmentation method based on BSDS500 database. Experimental results show that the proposed segmentation method is more accurate and preserve large meaningful region.",
keywords = "Eigenvector, Fusion, Image segmentation, NCut",
author = "Tiejun Zhang and \{Abd El-Latif\}, \{Ahmed A.\} and Ning Wang and Qiong Li and Xiamu Niu",
year = "2012",
doi = "10.1117/12.956472",
language = "英语",
isbn = "9780819489913",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Fourth International Conference on Digital Image Processing, ICDIP 2012",
note = "4th International Conference on Digital Image Processing, ICDIP 2012 ; Conference date: 07-04-2012 Through 08-04-2012",
}