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» Histogram Based Segmentation Using Wasserstein Distances
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PR
2007
109views more  PR 2007»
13 years 9 months ago
Unsupervised multiscale oil slick segmentation from SAR images using a vector HMC model
This study focuses on the segmentation and characterization of oil slicks on the sea surface from synthetic aperture radar (SAR) observations. In fact, an increase in viscosity du...
Stéphane Derrode, Grégoire Mercier
JIIS
2002
141views more  JIIS 2002»
13 years 9 months ago
Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining application domains including multimedia, CAD, molecular biology or medica...
Christian Böhm, Hans-Peter Kriegel, Thomas Se...
CAIP
2009
Springer
200views Image Analysis» more  CAIP 2009»
14 years 4 months ago
Recognition-Based Segmentation of Nom Characters from Body Text Regions of Stele Images Using Area Voronoi Diagram
Segmentation of Nom characters from body text regions of stele images is a challenging problem due to the confusing spatial distribution of the connected components composing these...
Thai V. Hoang, Salvatore Tabbone, Ngoc-Yen Pham
DGCI
2008
Springer
13 years 11 months ago
Selection of Local Thresholds for Tomogram Segmentation by Projection Distance Minimization
Abstract. Segmentation is an important step to obtain quantitative information from tomographic data sets. To this end, global thresholding is often used in practice. However, it i...
Kees Joost Batenburg, Jan Sijbers
ICML
2000
IEEE
14 years 2 months ago
Using Learning by Discovery to Segment Remotely Sensed Images
In this paper, we describe our research in computer-aided image analysis. We have incorporated machine learning methodologies with traditional image processing to perform unsuperv...
Leen-Kiat Soh, Costas Tsatsoulis