@inproceedings{ec466109b3664c8485c5247f6d0b9935,
title = "Feature extraction and soft segmentation of texture images",
abstract = "(Corresponding author) In this paper, we propose an efficient method for texture image segmentation. First we extract four feature channels smoothed with the total variation (TV) flow. Then we propose a soft segmentation model based on the ChanVese model by adding a weight in the arc length term and using a soft membership function in stead of level set function to represent the region. We derive a fast algorithm using the Additive Operator Scheme (AOS) and Chambolle's fast dual projection method. Experimental results on texture and Synthetic Aperture Radar (SAR) images show the effectiveness of our algorithm.",
keywords = "Chan-Vese model, Dual projection method, Feature extraction, Soft segmentation, Texture",
author = "Fang Li and Ruihua Liu and Chaomin Shen",
year = "2010",
doi = "10.1109/IASP.2010.5476094",
language = "英语",
isbn = "9781424455553",
series = "IASP 10 - 2010 International Conference on Image Analysis and Signal Processing",
pages = "367--370",
booktitle = "IASP 10 - 2010 International Conference on Image Analysis and Signal Processing",
note = "2nd International Conference on Image Analysis and Signal Processing, IASP'2010 ; Conference date: 12-04-2010 Through 14-04-2010",
}