A new multiresolution algorithm for image segmentation

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 5, Issue , 1998, Pages 2753-2756

  Saeed, M ^a   Karl, W C ^b   Nguyen, T Q ^b   Rabiee, H R ^c  

^a USA   (United States)

^b Boston University   (United States)

^c INTEL CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONALLY EFFICIENT; CORRELATION MODELING; EXPECTATION-MAXIMIZATION ALGORITHMS; GAUSSIAN MIXTURE MODEL; IMAGE SEGMENTATION ALGORITHM; LOG-LIKELIHOOD FUNCTIONS; MULTI-RESOLUTION ALGORITHMS; PARAMETER ESTIMATE;

IMAGE SEGMENTATION; PIXELS; SIGNAL PROCESSING;

ALGORITHMS;

EID: 0031625094     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.1998.678093     Document Type: Conference Paper

References (4)

1. J. Zhang, J.W. Modestino, and D.A. Langan, "Maximum-Likelihood Parameter Estimation for Unsupervised Stochastic Model-Based Image Segmentation," IEEE Transactions on Image Processing, Vol. 3, No. 4, July 1994, pp. 404-419.
2. A. Papoulis, "Probability, Random Variables, and Stochastic Processes," McGraw-Hill, third ed., 1991.
3. M. Saeed, "ML Parameter Estimation of Mixture Models and its Application to Image Segmentation and Restoration," MIT S.M. Thesis, 1997
4. C. Ambroise, and G. Govaert, "Spatial Clustering and the EM Algorithm," Conference Proceedings of International Workshop on Mixtures, Aussois, France, Sept. 17-21, 1995.