NDLI: Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation

Content Provider	IET Digital Library
Author	Liu, Xin Peng, Shu Juan Cheung, Yiu ming Tang, Yuan Yan Du, Ji Xiang
Abstract	In this study, we present an efficient active contour with a joint and region-scalable distribution metric for interactive natural image segmentation. First, the authors project a red–green–blue image into the CIELab colour space and employ independent component analysis to select two subspace channels. Then, by initialising the evolving curve interactively in terms of a polygonal curve or multiple polygonal curves, they compute a joint probability distribution associated with a region-scalable mask to model the regional statistics and propose a simple but effective distribution metric to regularise the active contours. Subsequently, they convert the resultant level set function into binary pattern and find the larger 8-connected regions as the desired objects. Finally, the selected regions are smoothed with a circular averaging filter such that the final segmentation results can be obtained. The proposed approach not only can deal with the complex appearance and intensity in homogeneity, but also has the advantages of fast convergence and easy implementation. The experiments have shown the precise and reliable segmentation results in comparison with the state-of-the-art competing approaches.
Starting Page	824
Ending Page	832
Page Count	9
ISSN	17519659
Volume Number	8
e-ISSN	17519667
Issue Number	Issue 12, Dec (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/8/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2013.0594
Journal	IET Image Processing
Publisher Date	2014-07-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Active Contour Binary Pattern CIELab Colour Space Circular Averaging Filter Computer Vision And Image Processing Technique Evolving Curve Filtering Method in Signal Processing Filtering Theory Image Colour Analysis Image Segmentation Independent Component Analysis Interactive Natural Image Segmentation Joint Distribution Metric Joint Probability Distribution Optical, Image And Video Signal Processing Polygonal Curve Probability Red–green–blue Image Region-scalable Distribution Metric Region-scalable Mask Regional Statistics Resultant Level Set Function Statistics SubSpace Channel
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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