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204views
13 years 4 months ago
Maximum Likelihood Active Contours Specialized for Mammography Segmentation
We present a region-based active contour approach to segmenting masses in digital mammograms. The algorithm developed in a Maximum Likelihood approach is based on the calculation o...
Peyman Rahmati, A. Ayatollahi
ISBI
2009
IEEE
14 years 2 months ago
Quantitative Validation of Optical Flow Based Myocardial Strain Measures Using Sonomicrometry
Dynamic cardiac metrics, including myocardial strains and displacements, provide a quantitative approach to evaluate cardiac function. However, in current clinical diagnosis, larg...
Qi Duan, Katherine Parker, Auranuch Lorsakul, Elsa...
CVPR
2012
IEEE
11 years 10 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
ICCV
2003
IEEE
14 years 23 days ago
Eye Gaze Estimation from a Single Image of One Eye
In this paper, we present a novel approach, called the “one-circle” algorithm, for measuring the eye gaze using a monocular image that zooms in on only one eye of a person. Ob...
Jian-Gang Wang, Eric Sung, Ronda Venkateswarlu
TIP
2010
205views more  TIP 2010»
13 years 2 months ago
Variational Region-Based Segmentation Using Multiple Texture Statistics
This paper addresses variational supervised texture segmentation. The main contributions are twofold. First, the proposed method circumvents a major problem related to classical t...
Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Jean...