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» Level Set Methods for Watershed Image Segmentation
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GECCO
2006
Springer
226views Optimization» more  GECCO 2006»
14 years 16 days ago
Segmentation of medical images using a genetic algorithm
Segmentation of medical images is challenging due to poor image contrast and artifacts that result in missing or diffuse organ/tissue boundaries. Consequently, this task involves ...
Payel Ghosh, Melanie Mitchell
ICPR
2006
IEEE
14 years 10 months ago
Pixel-Accurate Representation and Evaluation of Page Segmentation in Document Images
This paper presents a new representation and evaluation procedure of page segmentation algorithms and analyzes six widely-used layout analysis algorithms using the procedure. The ...
Daniel Keysers, Faisal Shafait, Thomas M. Breuel
CVPR
2011
IEEE
13 years 5 months ago
Multi-Level Inference by Relaxed Dual Decomposition for Human Pose Segmentation
Combining information from the higher level and the lower level has long been recognized as an essential component in holistic image understanding. However, an efficient inferenc...
Huayan Wang, Daphne Koller
TRECVID
2008
13 years 10 months ago
ISM TRECVID2008 High-level Feature Extraction
We studied a method using support vector machines (SVMs) with walk-based graph kernels for the high-level feature extraction (HLF) task. In this method, each image is first segmen...
Tomoko Matsui, Jean-Philippe Vert, Shin'ichi Satoh...
TVCG
2008
174views more  TVCG 2008»
13 years 8 months ago
Data-Driven Visualization and Group Analysis of Multichannel EEG Coherence with Functional Units
Abstract-- A typical data-driven visualization of electroencephalography (EEG) coherence is a graph layout, with vertices representing electrodes and edges representing significant...
Michael ten Caat, Natasha M. Maurits, Jos B. T. M....