Brain tissue classification of mr images using fast fourier transform based expectation- maximization gaussian mixture model

Communications in Computer and Information Science

Volumn 198 CCIS, Issue , 2011, Pages 387-398

  Ramasamy, Rajeswari ^a   Anandhakumar, P ^a  

^a ANNA UNIVERSITY   (India)

Author keywords

Computational complexity; Expectation Maximization; Fast Fourier Transform (FFT); Frequency domain; Gaussian Mixture Model (EM GMM); Tissue classification

Indexed keywords

BRAIN TISSUE; CLASSICAL SOLUTIONS; CLASSIFICATION ACCURACY; EXPECTATION MAXIMIZATION; FOURIER DOMAINS; FREQUENCY DOMAINS; GAUSSIAN MIXTURE MODEL; HIGH-THROUGHPUT; MR IMAGES; POOR PERFORMANCE; REAL-TIME APPLICATION; SPATIAL CORRELATIONS; SPATIAL DOMAINS; TISSUE CLASSIFICATION; TISSUE TYPES;

ALGORITHMS; COMPUTATIONAL COMPLEXITY; FAST FOURIER TRANSFORMS; GAUSSIAN DISTRIBUTION; HISTOLOGY; INFORMATION TECHNOLOGY; MAXIMUM PRINCIPLE; PIXELS; TISSUE;

IMAGE SEGMENTATION;

EID: 79960338927     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-22555-0_40     Document Type: Conference Paper

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