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MMSEC
2004
ACM
145views Multimedia» more  MMSEC 2004»
14 years 25 days ago
Improving LSB steganalysis using marginal and joint probabilistic distributions
The goal of steganalysis is to search for the presence of hidden information in numerical contents. This paper is based on a previous LSB steganalysis scheme for digital images th...
Benoit Roue, Patrick Bas, Jean-Marc Chassery
TMI
1998
140views more  TMI 1998»
13 years 7 months ago
Automated Seeded Lesion Segmentation on Digital Mammograms
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
Matthew A. Kupinski, Maryellen L. Giger
JEI
2006
162views more  JEI 2006»
13 years 7 months ago
Markovian segmentation and parameter estimation on graphics hardware
In this paper, we show how Markovian strategies used to solve well-known segmentation problems such as motion estimation, motion detection, motion segmentation, stereovision, and c...
Pierre-Marc Jodoin, Max Mignotte
CVPR
2007
IEEE
14 years 9 months ago
Probabilistic Reverse Annotation for Large Scale Image Retrieval
Automatic annotation is an elegant alternative to explicit recognition in images. In annotation, the image is matched with keyword models, and the most relevant keywords are assig...
K. Pramod Sankar, C. V. Jawahar
ICIAR
2004
Springer
14 years 24 days ago
Automatic Image Segmentation Using a Deformable Model Based on Charged Particles
Abstract. We present a method for automatic segmentation of grey-scale images, based on a recently introduced deformable model, the charged-particle model (CPM). The model is inspi...
Andrei Jalba, Michael H. F. Wilkinson, Jos B. T. M...