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CVPR
2008
IEEE
14 years 8 months ago
Unsupervised estimation of segmentation quality using nonnegative factorization
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
Roman Sandler, Michael Lindenbaum
ACCV
2009
Springer
14 years 26 days ago
Natural Image Segmentation with Adaptive Texture and Boundary Encoding
We present a novel algorithm for unsupervised segmentation of natural images that harnesses the principle of minimum description length (MDL). Our method is based on observations ...
Shankar Rao, Hossein Mobahi, Allen Y. Yang, Shanka...
ICPR
2004
IEEE
14 years 7 months ago
Texture Analysis using Level-crossing Statistics
We present a novel statistical texture descriptor employing level-crossing statistics. Images are first mapped into 1D signals using space-filling curves, such as Peano or Hilbert...
Carlos Santamaria, Miroslaw Bober, Wieslaw Szajnow...
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TMI
2002
248views more  TMI 2002»
13 years 5 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
ICPR
2006
IEEE
14 years 7 months ago
Unsupervised Segmentation Using Gabor Wavelets and Statistical Features in LIDAR Data Analysis
In this paper, we address issues in segmentation of remotely sensed LIDAR (LIght Detection And Ranging) data. The LIDAR data, which were captured by airborne laser scanner, contai...
Hong Wei, Marc Bartels