Learning cell geometry models for cell image simulation: An unbiased approach

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2010, Pages 1897-1900

  Xiong, Wei ^a   Wang, Yanbo ^b   Ong, S H ^b   Lim, Joo Hwee ^a   Jiang, Lijun ^c  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c Republic Polytechnic   (Singapore)

Author keywords

Cell; Deformation probability; Learning; Simulation; Unbiased model

Indexed keywords

CELL GEOMETRIES; CELL IMAGES; CELL POPULATIONS; CELL SEGMENTATION; COLOR MODELS; COMPUTER GENERATION; CONTROLLABLE PARAMETERS; DEFORMATION MODELS; GRAY LEVEL IMAGE; IMAGING CONDITIONS; LEARNING; PARAMETER CONSTRAINTS; REAL OBJECTS; RED BLOOD CELL; SIMULATION; SIMULATION TECHNIQUE; SYNTHESIZED IMAGES; TEXTURE GENERATION; UNBIASED MODEL;

BLOOD; CELL CULTURE; CELL PROLIFERATION; DEFORMATION; IMAGE PROCESSING; IMAGING SYSTEMS; PROBABILITY;

COMPUTER SIMULATION;

EID: 78651084513     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2010.5652455     Document Type: Conference Paper

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