NDLI: Fast and robust superpixel generation method

Content Provider	IET Digital Library
Author	Zhang, Yongxia Guo, Qiang Zhang, Yongsheng Zhang, Caiming
Abstract	Superpixel segmentation approach, as a preprocessing step in computer vision tasks, groups pixels into perceptually coherence atomic regions to replace the pixel grid in images and reduce the primitives and redundancy of subsequent works. In this study, the authors proposed a fast and robust superpixel generation method based on non-iterative framework with the constraint of linear path. They collected neighbouring pixels as the initial superpixels one by one in the conventional order at first. To make the superpixels attach to the most object boundaries well and robust to noise, they defined a new distance measurement between pixels and superpixel seeds by considering the colour difference of pixels in the neighbourhood and along the linear path from the pixel to the seed. Meanwhile, they proposed a new way to set parameters adaptively based on the intrinsic quality of images. Then, they refined the initial superpixels by merging the smallest ones until the number of superpixel meets the expectation. The experimental results on clean and noisy images demonstrate that the proposed method is effective and presents a competitive performance in computational efficiency with the state-of-the-art real-time method.
Starting Page	4543
Ending Page	4553
Page Count	11
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 17, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2020.1179
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/17
Journal	IET Image Processing
Publisher Date	2021-01-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision Computer Vision And Image Processing Technique Computer Vision Tasks Groups Pixel Image Resolution Image Segmentation Initial Superpixels Linear Path Noniterative Framework Optical, Image And Video Signal Processing Pixel Grid Robust Superpixel Generation Method Superpixel Seed
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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