Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6857067 | Information Sciences | 2016 | 18 Pages |
Abstract
Extensive experiments on composite natural texture images demonstrate the superiority of the proposed approach over multiple state of the art texture segmentation methods. Our experimental evaluation demonstrates a significant superiority over recent popular sparse reconstruction segmentation methods in terms of computational efficiency, while outperforming or comparable in terms of segmentation accuracy.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Li Liu, Liansheng Wang, Lingjun Zhao, Paul Fieguth,