NDLI: Robust random walk for leaf segmentation

Content Provider	IET Digital Library
Author	Hu, Jing Chen, Zhibo Zhang, Rongguo Yang, Meng Zhang, Shuai
Abstract	In this study, the authors focus on the task of leaf segmentation under different imaging conditions (e.g. backgrounds and shadows). A new method - robust random walk (RW) is proposed to propagate the prior of user's specified pixels. Specifically, they first employ RWs to take the relationship of pairwise pixels into consideration. A superpixel-consistent constraint is added to make the edges of segmentation smooth. Owing to the effect of illumination, some parts of a leaf surface are brighter than others and it may further harm the subsequent label propagation. To address this problem, they learn a common subspace by taking into account the illumination of local and non-local pixels. By doing so, it has good adaptability to process noise interfering and non-uniform illumination. In addition, since RW only considers the pairwise relationship of pixels, it will be sensitive to the specified and connected pixels. Thus, they further employ a log-likelihood ratio to predict the probability of a pixel belonging to the background and use it to guide the label propagation. Based on the proposed method, they can obtain a smoothed and robust leaf segmentation. Experimental results on unconstrained leaf images demonstrate the efficiency of their algorithm.
Starting Page	1180
Ending Page	1186
Page Count	7
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 6, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6255
Journal	IET Image Processing
Publisher Date	2020-01-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biology And Medical Computing Biology Computing Computer Vision And Image Processing Technique Illumination Image Segmentation Imaging Condition Leaf Shapes Leaf Surface Nonlocal Pixel Optical, Image And Video Signal Processing Pairwise Pixel Probability Robust Leaf Segmentation Robust Random Walk Smooth Segmentation Edge Smoothed Leaf Segmentation Specified Connected Pixel Statistics Unconstrained Leaf Image
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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