A Bayesian network-based tunable image segmentation algorithm for object recognition

IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2011

Volumn , Issue , 2011, Pages 011-016

  Alam, Fahim Irfan ^a   Gondra, Iker ^a  

^a ST FRANCIS XAVIER UNIVERSITY   (Canada)

Author keywords

Bayesian Network; Image Segmentation; Multiple Instance Learning; Object Recognition; Spatial Relationship

Indexed keywords

BAYESIAN NETWORK STRUCTURE; CRITICAL STEPS; DOMAIN-SPECIFIC INFORMATION; HOMOGENEOUS REGIONS; IMAGE SEGMENTATION ALGORITHM; MULTIPLE INSTANCE LEARNING; NETWORK-BASED; OBJECT OF INTERESTS; PROBABILISTIC GRAPHICAL MODELS; SEGMENTATION PERFORMANCE; SPATIAL RELATIONSHIPS;

IMAGE SEGMENTATION; INFORMATION TECHNOLOGY; LEARNING ALGORITHMS; LEARNING SYSTEMS; OBJECT RECOGNITION; SIGNAL PROCESSING;

BAYESIAN NETWORKS;

EID: 84857841786     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSPIT.2011.6151528     Document Type: Conference Paper

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