Object segmentation of database images by dual multiscale morphological reconstructions and retrieval applications

IEEE Transactions on Image Processing

Volumn 21, Issue 2, 2012, Pages 828-843

  Chen, Jiann Jone ^a   Su, Chun Rong ^a   Grimson, W Eric L ^b   Liu, Jun Lin ^c   Shiue, De Hui ^c  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b USA   (United States)

^c INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE   (Taiwan)

Author keywords

Content based image retrieval (CBIR); dual multiscale gray level morphological reconstructions; image background (BG) gray level variation mesh; object segmentation

Indexed keywords

COLOR FEATURES; COMMON FEATURES; CONTENT-BASED IMAGE RETRIEVAL; DATABASE IMAGES; DESCRIPTORS; DISTANCE MEASURE; FEATURE TYPES; FEATURE VECTORS; GRAY LEVELS; GRAY-LEVEL; HISTOGRAM INTERSECTION; IMAGE FEATURES; LARGE-SCALE DATABASE; MORPHOLOGICAL RECONSTRUCTION; MULTIFEATURE QUERY; MULTISCALES; NORMALIZED CORRELATION COEFFICIENT; OBJECT REGION; OBJECT SEGMENTATION; PROCESSING STEPS; RECALL RATE; RETRIEVAL APPLICATIONS; RETRIEVAL PERFORMANCE; SEGMENTATION ACCURACY; SHAPE FEATURES; STANDARD PROCEDURES;

ADAPTIVE BOOSTING; COMPUTER GRAPHICS; CONTENT BASED RETRIEVAL; DATABASE SYSTEMS; FEATURE EXTRACTION; REPAIR;

IMAGE SEGMENTATION;

EID: 84863036081     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2011.2166558     Document Type: Article

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