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Volumn , Issue , 2009, Pages 642-645
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A new localized superpixel Markov random field for image segmentation
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Author keywords
Image segmentation; Markov random field; Pixel labeling; Superpixel
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Indexed keywords
COMPUTATIONAL COSTS;
EARLY VISION;
LEARNING PROCESS;
LOCAL DATA;
LOCAL INTERACTIONS;
MARKOV RANDOM FIELD;
MARKOV RANDOM FIELDS;
NEW MODEL;
PARAMETER LEARNING;
QUANTITATIVE EVALUATION;
REGION SEGMENTATION;
SEGMENTATION ACCURACY;
SUPERPIXEL;
SUPERPIXELS;
VISUAL EFFECTS;
COMPUTATIONAL EFFICIENCY;
DIGITAL IMAGE STORAGE;
HIDDEN MARKOV MODELS;
KNOWLEDGE BASED SYSTEMS;
LABELING;
MULTIMEDIA SYSTEMS;
PIXELS;
STRUCTURAL FRAMES;
VISUAL COMMUNICATION;
IMAGE SEGMENTATION;
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EID: 70449585564
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ICME.2009.5202578 Document Type: Conference Paper |
Times cited : (36)
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References (13)
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