Abstract

This study proposed an improved pre-labeling method based on deformable part models and HOG features for interactive segmentation with graph cuts. Because of the complex appearance of foreground and background, the result of segmentation is unsatisfactory. Many priors have been introduced into graph cuts to improve the segmentation results and our work is inspired by the shape prior. In this paper we use the deformable part-based model and HOG features to pre-label the seeds before the graph cuts algorithm. The user involvement is reduced and the performance of the graph cuts algorithm is improved at the first iteration. Our assumption is based on the compact shape. We assume that the area between the center of the part filter and root filter belongs to foreground. If the area covered by more filters, it will more probably be the foreground. Our results show that our method can get more accurate result especially the appearance of the object and background is similar and the shape of the object close to rectangle and eclipse.

Keywords:

Deformable part-based models, graph cuts, image segmentation,

References

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.