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ICIP
2003
IEEE
16 years 2 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
125
Voted
MIR
2006
ACM
200views Multimedia» more  MIR 2006»
15 years 6 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, ...
85
Voted
ICPR
2006
IEEE
16 years 1 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
15 years 6 months 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
103
Voted
ISBI
2007
IEEE
15 years 6 months 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