NDLI: Auto-adjusted shape prior-based interactive segmentation via point set registration

Content Provider	IET Digital Library
Author	Liu, Liman Li, Kunqian Tao, Wenbing Liu, Haihua
Abstract	A novel object specified segmentation approach based on the auto-adjusted shape prior by utilising the point set registration method is presented. Three steps are included in the proposed method: (i) initial segmentation, (ii) automatic shape prior adjustment by point set registration and (iii) object segmentation constrained by the adjusted shape prior. To repair the shape difference between the local targets and the given shape model, such as location, scale, rotation and local shape details, an excellent point set registration approach named coherent point drift (CPD) is adopted. The adjusted shape constraints under the coherent moving constraint implied in CPD give reliable boundary predictions. Experimental results on the ETHZ shape dataset have demonstrated the outstanding performance of the proposed method.
Starting Page	38
Ending Page	40
Page Count	3
ISSN	00135194
Volume Number	51
e-ISSN	1350911X
Issue Number	Issue 1, Jan (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/51/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2014.3160
Journal	Electronics Letters
Publisher Date	2014-12-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adjusted Shape Constraint Auto-adjusted Shape Prior-based Interactive Segmentation Automatic Shape Prior Adjustment Coherent Point Drift Computer Vision And Image Processing Technique CPD ETHZ Shape Dataset Image Registration Image Segmentation Interactive System Object Specified Segmentation Approach Optical, Image And Video Signal Processing Point Set Registration Method Reliable Boundary Predictions Shape Model User InterFace
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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