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ICPR
2000
IEEE
14 years 1 months ago
Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in...
J. C. Noordam, W. H. A. M. Van den Broek, Lutgarde...
ICMCS
2007
IEEE
121views Multimedia» more  ICMCS 2007»
13 years 9 months ago
A New Approach to Impulse Noise Removal for Color Image
This paper presents a new two-stage approach to impulse noise removal for color image. The first step is the impulse detection, in which the so-called Rank-Ordered Absolute Diffe...
Qing Xu 0002, Rui Zhang, Mateu Sbert
ISCAS
2008
IEEE
147views Hardware» more  ISCAS 2008»
14 years 3 months ago
An asynchronous time-based image sensor
Abstract— In this paper we propose a fully asynchronous, timebased image sensor, which is characterized by high temporal resolution, low data rate (near complete temporal redunda...
Christoph Posch, Daniel Matolin, Rainer Wohlgenann...
DDECS
2007
IEEE
101views Hardware» more  DDECS 2007»
13 years 9 months ago
A Low Noise and Low Power CMOS Image Sensor with Pixel-level Correlated Double Sampling
—A Low noise and low power CMOS Image Sensor (CIS) with pixel-level Correlated Double Sampling (CDS) is proposed. As the pixel readout circuit using source follower is major read...
Dongsoo Kim, Gunhee Han
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
13 years 6 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang