loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Shaomin Zhang ; Lijia zhi ; Dazhe Zhao and Hong Zhao

Affiliation: Northeastern University, China

ISBN: 978-989-674-029-0

Keyword(s): Medical Image Registration, Entropic Spanning Graph Estimator, Minimum Spanning Tree (Mst), Rényi Entropy, Salient Point.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Registration

Abstract: In this paper, we propose a novel registration algorithm based on minimal spanning tree. There are two novel aspects of the new method. First, instead of a single feature points, we extracted corner-like as well as edge-like points from image, and also added a few random points to cover the low contrast regions; Second, the hierarchical mechanism which fusing multi-salient points is used to drive the registration during the registration procedure. The new algorithm has solved the low robustness brought by the instability of extraction of feature points and the speed bottleneck problem when using MST to estimate the Rényi entropy. Experiment results show that on the simulated and real brain datasets, the algorithm achieves better robustness while maintaining good registration accuracy.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.204.173.45

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Zhang S.; zhi L.; Zhao D.; Zhao H. and (2010). MINIMUM SPANNING TREE FUSING MULTI-SALIENT POINTS HIERARCHICALLY FOR MULTI-MODALITY IMAGE REGISTRATION.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 33-36. DOI: 10.5220/0002820700330036

@conference{visapp10,
author={Shaomin Zhang and Lijia zhi and Dazhe Zhao and Hong Zhao},
title={MINIMUM SPANNING TREE FUSING MULTI-SALIENT POINTS HIERARCHICALLY FOR MULTI-MODALITY IMAGE REGISTRATION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={33-36},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002820700330036},
isbn={978-989-674-029-0},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - MINIMUM SPANNING TREE FUSING MULTI-SALIENT POINTS HIERARCHICALLY FOR MULTI-MODALITY IMAGE REGISTRATION
SN - 978-989-674-029-0
AU - Zhang, S.
AU - zhi, L.
AU - Zhao, D.
AU - Zhao, H.
PY - 2010
SP - 33
EP - 36
DO - 10.5220/0002820700330036

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.