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» Segmenting small regions in the presence of noise
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ICIP
2005
IEEE
14 years 7 months ago
Segmenting small regions in the presence of noise
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
Rashi Samur, Vitali Zagorodnov
INFOCOM
2012
IEEE
11 years 7 months ago
CONSEL: Connectivity-based segmentation in large-scale 2D/3D sensor networks
—A cardinal prerequisite for the system design of a sensor network, is to understand the geometric environment where sensor nodes are deployed. The global topology of a largescal...
Hongbo Jiang, Tianlong Yu, Chen Tian, Guang Tan, C...
ICPR
2006
IEEE
14 years 6 months ago
Segmentation of Medical Images with Regional Inhomogeneities
This paper presents a novel deformable model for accurate delineation of regions of interest in medical images that contain regional inhomogeneities. Such images are common in var...
Dimitrios E. Maroulis, Dimitrios K. Iakovidis, Mic...
ICPR
2006
IEEE
14 years 6 months ago
Bottom-Up Hierarchical Image Segmentation Using Region Competition and the Mumford-Shah Functional
This paper generalizes the methods in a previous paper [10] in two ways. First, a more comprehensive analysis of the initialization problem of the Chan-Vese models is given. Secon...
J. Douglas Birdwell, Seddik M. Djouadi, Yongsheng ...
IH
2007
Springer
13 years 11 months ago
Imaging Sensor Noise as Digital X-Ray for Revealing Forgeries
In this paper, we describe a new forensic tool for revealing digitally altered images by detecting the presence of photo-response non-uniformity noise (PRNU) in small regions. This...
Mo Chen, Jessica J. Fridrich, Jan Lukás, Mi...