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» Image hallucination with feature enhancement
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TIP
2002
179views more  TIP 2002»
13 years 7 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
ICPR
2004
IEEE
14 years 9 months ago
An Enhanced Appearance Model for Ultrasound Image Segmentation
Active Appearance Model (AAM) [1] had been popular on object segmentation for medical images. However, its performance is not good on Ultrasound (US) images. In this paper, we pro...
Feng Cen, Hung-Tat Tsui, Tze Kin Lau, Yifeng Jiang...
ISBI
2006
IEEE
14 years 8 months ago
Efficient 3-D adaptive filtering for medical image enhancement
Tensor based orientation adaptive filtering, an explicit methodology for anisotropic filtering, constitutes a flexible framework for medical image enhancement. The technique featu...
Örjan Smedby, Björn Svensson, Hans Knuts...
ECCV
2008
Springer
14 years 9 months ago
Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach
Abstract. We introduce a shape detection framework called Contour Context Selection for detecting objects in cluttered images using only one exemplar. Shape based detection is inva...
Qihui Zhu, Liming Wang, Yang Wu, Jianbo Shi
PAMI
2006
333views more  PAMI 2006»
13 years 7 months ago
Face Description with Local Binary Patterns: Application to Face Recognition
This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features. The face image is divided into several regions from whi...
Timo Ahonen, Abdenour Hadid, Matti Pietikäine...