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» Image segmentation evaluation: A survey of unsupervised meth...
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98
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VLC
2008
314views more  VLC 2008»
14 years 11 months ago
A survey of methods for image annotation
In order to evaluate automated image annotation and object recognition algorithms, ground truth in the form of a set of images correctly annotated with text describing each image ...
Allan Hanbury
HISB
2011
92views more  HISB 2011»
13 years 11 months ago
Unsupervised Grow-Cut: Cellular Automata-Based Medical Image Segmentation
— This paper presents a new cellular automata-based unsupervised image segmentation technique that is motivated by the interactive grow-cut algorithm. In contrast to the traditio...
Payel Ghosh, Sameer Antani, L. Rodney Long, George...
81
Voted
SIBGRAPI
2008
IEEE
15 years 6 months ago
Benchmark for Quantitative Evaluation of Assisted Object Segmentation Methods to Image Sequences
Evaluation of segmentation methods applied to image sequences consists in the analysis of such methods according to quantitative and/or qualitative criteria, usually driven to som...
Franklin César Flores, Roberto de Alencar L...
120
Voted
PREMI
2009
Springer
15 years 6 months ago
Unsupervised Color Image Segmentation Using Compound Markov Random Field Model
Abstract. In this paper, we propose an unsupervised color image segmentation scheme using homotopy continuation method and Compound Markov Random Field (CMRF) model. The proposed s...
Sucheta Panda, P. K. Nanda
ICIP
2009
IEEE
16 years 20 days ago
Modified Grabcut For Unsupervised Object Segmentation
We propose a fully automated variation of the GrabCut technique for segmenting comparatively simple images with little variation in background colour and relatively high contrast ...