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» Unseeded Region Growing for 3D Image Segmentation
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SIGIR
2003
ACM
14 years 24 days ago
Image classification using hybrid neural networks
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Chih-Fong Tsai, Kenneth McGarry, John Tait
ICMCS
2005
IEEE
229views Multimedia» more  ICMCS 2005»
14 years 1 months ago
A methodology for improving recognition rate of linear discriminant analysis in video-based face recognition using support vecto
This paper proposes a two-step methodology for improving the discriminatory power of Linear Discriminant Analysis (LDA) for video-based human face recognition. Results indicate th...
Sreekar Krishna, Sethuraman Panchanathan
IPAS
2008
13 years 10 months ago
Multivariate mathematical morphology and Bayesian classifier application to colour and medical images
Multivariate images are now commonly produced in many applications. If their process is possible due to computers power and new programming languages, theoretical difficulties hav...
Arnaud Garcia, Corinne Vachier, Jean-Paul Vall&eac...
MICCAI
2008
Springer
14 years 8 months ago
Active Volume Models with Probabilistic Object Boundary Prediction Module
We propose a novel Active Volume Model (AVM) which deforms in a free-form manner to minimize energy. Unlike Snakes and level-set active contours which only consider curves or surfa...
Tian Shen, Yaoyao Zhu, Xiaolei Huang, Junzhou H...
BIOINFORMATICS
2005
93views more  BIOINFORMATICS 2005»
13 years 7 months ago
Donuts, scratches and blanks: robust model-based segmentation of microarray images
Inner holes, artifacts and blank spots are common in microarray images, but current image analysis methods do not pay them enough attention. We propose a new robust model-based me...
Qunhua Li, Chris Fraley, Roger Eugene Bumgarner, K...