NDLI: Coarse image region segmentation using region-and boundary-based coupled MRF models and their PWM VLSI implementation

Content Provider	IEEE Xplore Digital Library
Author	Kawashima, Y. Atuti, D. Nakada, K. Okada, M. Morie, T.
Copyright Year	2009
Description	Author affiliation: Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa-shi, Japan (Okada, M.) \|\| Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu-shi, Japan (Kawashima, Y.; Atuti, D.; Nakada, K.; Morie, T.)
Abstract	This paper proposes a novel region-based coupled Markov Random Field (MRF) model for coarse image region segmentation on silicon platforms. Coupled MRF models are classified into boundary- and region-based models, in which hidden variables are referred to as a line process and a label process, respectively. These hidden variables are crucial for detecting discontinuities in motion, intensity, color, and depth in visual scenes. For a coarse image region segmentation task, we address a region-based coupled MRF model with hidden phase variables. It is shown that the region-based coupled MRF model has an advantage over the resistive-fuse network, which is a boundary-based coupled MRF model, in dealing with the hidden variables explicitly. These models work complementarily for a coarse image region segmentation task. For real-time region segmentation operation, we have designed a merged analog/digital CMOS circuit implementing both functions of the boundary- and region-based coupled MRF models using a pulse modulation approach.
Starting Page	1559
Ending Page	1565
File Size	10905173
Page Count	7
File Format	PDF
ISBN	9781424435487
ISSN	10987576
DOI	10.1109/IJCNN.2009.5179030
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pulse width modulation Image segmentation Very large scale integration Semiconductor device modeling Coupling circuits Markov random fields Silicon Motion detection Layout CMOS digital integrated circuits
Content Type	Text
Resource Type	Article

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