NDLI: Supervised image segmentation based on superpixel and improved normalised cuts

Content Provider	IET Digital Library
Author	Qu, Shaojun Li, Qiaoliang Chen, Ming
Abstract	Effective and efficient image segmentation is an important task in computer vision. As the full-automatic image segmentation is usually difficult to segment the natural image, it is an excellent solution to use interactive schemes. Here, to overcome the defects of SSNCut in its low quality and speed, the authors proposed a new interactive image segmentation method based on superpixels, must-link, cannot-link constraints and improved normalised cuts. The main contribution of their work is as follows: first, the similarity between two superpixel regions is calculated using Bhattacharyya distance. Second, they adaptively modify the weights of must-link and cannot-link constraints. Compared to SSNCut, their method greatly improves the accuracy of segmentation. Comparative experiments on open datasets show that the proposed method can get better results compared with SSNCut, GrabCut in one cut, interactive segmentation using binary partition tree, interactive graph cut, seed region growing, and simple interactive object extraction.
Starting Page	2204
Ending Page	2212
Page Count	9
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 12, Oct (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6241
Journal	IET Image Processing
Publisher Date	2019-08-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bhattacharyya Distance Cannot-link Constraint Combinatorial Mathematics Computer Vision Computer Vision And Image Processing Technique Effective Image Segmentation Efficient Image Segmentation Full-automatic Image Segmentation Graph Theory Image Segmentation Improved Normalised Cuts Interactive Image Segmentation Method Interactive System Must-link Constraint Natural Image Segmentation Optical, Image And Video Signal Processing Superpixel Region Supervised Image Segmentation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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