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ISBI
2007
IEEE
15 years 3 months ago
Unsupervised Curvature-Based Retinal Vessel Segmentation
Unsupervised methods for automatic vessel segmentation from retinal images are attractive when only small datasets, with associated ground truth markings, are available. We presen...
Saurabh Garg, Jayanthi Sivaswamy, Siva Chandra
ICML
2000
IEEE
15 years 1 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
78
Voted
APVIS
2004
14 years 11 months ago
A Comparison and Evaluation of Interpolation Methods for Visualising Discrete 2D Survey Data
Discrete 2D survey data is common in the areas of business, science and government. Visualisation is often used to present such data. The best form of visualisation depends on how...
Burkhard Wünsche, Ewan D. Tempero
132
Voted
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
14 years 7 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang
IBPRIA
2005
Springer
15 years 3 months ago
Multispectral Image Segmentation by Energy Minimization for Fruit Quality Estimation
Abstract. This article presents the results of an unsupervised segmentation algorithm in multispectral images. The algorithm uses a minimization function which takes into account e...
Adolfo Martínez Usó, Filiberto Pla, ...