NDLI: A polynomial-time algorithm for image segmentation using Ising models

Content Provider	IEEE Xplore Digital Library
Author	Peiwei Qin Jieyu Zhao
Copyright Year	2011
Description	Author affiliation: Research Institute of Computer Science and Technology, Ningbo University, China, 315211 (Peiwei Qin; Jieyu Zhao)
Abstract	The Ising model is a classical model and it has been used in a number of problem domains, such as statistical physics and computer vision. The minimum energy of the Ising model is useful, however the lowest-energy is difficult to solve for the reason of time. In this paper, we use a polynomial-time algorithm based on the Ising model, to obtain the lowest energy and segment images efficiently. Image segmentation is a complex problem. There are many methods to solve this problem. It is the process of assigning a label to every pixel in an image such that pixels with the same label share certain visual characteristics. We will use the state of the Ising model to denote the image segmentation. The time complexity of this algorithm for image segmentation is polynomial-time.
Starting Page	932
Ending Page	935
File Size	263081
Page Count	4
File Format	PDF
ISBN	9781424499502
ISSN	21579563
e-ISBN	9781424499533
DOI	10.1109/ICNC.2011.6022198
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Semiconductor device modeling Image segmentation Computer vision Computational modeling Image edge detection image segmentation the Ising model the lowest energy Minimization perfect matching planarity
Content Type	Text
Resource Type	Article

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