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MICCAI
2002
Springer
15 years 11 months ago
An Automated Segmentation Method of Kidney Using Statistical Information
: This paper presents a deformable model based approach for automated segmentation of kidneys from tree dimensional (3D) abdominal CT images. Since the quality of an input image is...
Baigalmaa Tsagaan, Akinobu Shimizu, Hidefumi Kobat...
ISBI
2006
IEEE
15 years 11 months ago
A statistical appearance model based on intensity quantile histograms
We present a novel histogram method for statistically characterizing the appearance of deformable models. In deformable model segmentation, appearance models measure the likelihoo...
Robert E. Broadhurst, Joshua Stough, Stephen M. Pi...
ACCV
2007
Springer
15 years 5 months ago
High Capacity Watermarking in Nonedge Texture Under Statistical Distortion Constraint
High-capacity image watermarking scheme aims at maximize bit rate of hiding information, neither eliciting perceptible image distortion nor facilitating special watermark attack. T...
Fan Zhang, Wenyu Liu, Chunxiao Liu
CVPR
2012
IEEE
13 years 1 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
ICIP
1998
IEEE
15 years 3 months ago
A Statistical Method for Discrimination of Natural Terrain Types from SAR Data
In this paper we propose a method for discrimination of underlying textural structures from spotlight-mode synthetic aperture radar (SAR) returns by using a tomographic data acqui...
Müjdat Çetin, William Clement Karl