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ICIP
2003
IEEE
16 years 7 months ago
A probabilistic framework for image segmentation
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
Slawo Wesolkowski, Paul W. Fieguth
MIR
2006
ACM
200views Multimedia» more  MIR 2006»
15 years 11 months ago
An adaptive graph model for automatic image annotation
Automatic keyword annotation is a promising solution to enable more effective image search by using keywords. In this paper, we propose a novel automatic image annotation method b...
Jing Liu, Mingjing Li, Wei-Ying Ma, Qingshan Liu, ...
ICPR
2006
IEEE
16 years 7 months ago
Analysis of Ramp Discontinuity Model for Multiscale Image Segmentation
This paper presents an algorithm for multiscale image segmentation. Towards this, it proposes a new region model, that of a homogenous region surrounded by ramp discontinuities (a...
Himanshu Arora, Narendra Ahuja
ICIP
2008
IEEE
16 years 8 days ago
AM-FM image filters
We introduce a multicomponent invertible AM-FM image transform and use it to define new nonlinear AM-FM filters for performing modulation domain image processing. The key elemen...
Chuong T. Nguyen, Joseph P. Havlicek
ISBI
2007
IEEE
16 years 3 days ago
A Shape-Based Finite Impulse Response Model for Functional Brain Images
We present a new Finite Impulse Response (FIR) model for hemodynamics in functional brain images. Like other FIR models, our method permits a flexible formulation of the hemodyna...
Bing Bai, Paul B. Kantor