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» Image segmentation evaluation: A survey of unsupervised meth...
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AMC
2005
178views more  AMC 2005»
15 years 5 months ago
Color image segmentation based on three levels of texture statistical evaluation
In this paper a new and efficient supervised method for color image segmentation is presented. This method improves a part of the automatic extraction problem. The basic technique...
Juan B. Mena, José A. Malpica
ICIP
2002
IEEE
16 years 7 months ago
Objective evaluation of segmentation quality using spatio-temporal context
In this paper, we propose an automatic method for the objective evaluation of segmentation results. The method is based on computing the deviation of the segmentation results from...
Andrea Cavallaro, Elisa Drelie Gelasca, Touradj Eb...
CVPR
2012
IEEE
13 years 8 months ago
Bag of textons for image segmentation via soft clustering and convex shift
We propose an unsupervised image segmentation method based on texton similarity and mode seeking. The input image is first convolved with a filter-bank, followed by soft cluster...
Zhiding Yu, Ang Li, Oscar C. Au, Chunjing Xu
CLEF
2008
Springer
15 years 7 months ago
Allomorfessor: Towards Unsupervised Morpheme Analysis
Many modern natural language processing applications would benefit from automatic morphological analysis of words, especially when dealing with morphologically rich languages. Con...
Oskar Kohonen, Sami Virpioja, Mikaela Klami
CMIG
2010
110views more  CMIG 2010»
15 years 28 days ago
Unsupervised SVM-based gridding for DNA microarray images
This paper presents a novel method for unsupervised DNA microarray gridding based on Support Vector Machines (SVMs). Each spot is a small region on the microarray surface where cha...
Dimitris G. Bariamis, Dimitris Maroulis, Dimitrios...