Title :
An Unsupervised Learning Algorithm for Image Segmentation Based On Finite Mixture Models
Author :
Lin-Sen, Yu ; Tian-Wen, Zhang
Author_Institution :
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China
fDate :
March 18-23, 2005
Keywords :
convergence; image segmentation; low-pass filters; maximum likelihood estimation; unsupervised learning; EM algorithm convergence; finite mixture models; image segmentation; low pass filtering operation; maximum likelihood estimation; model initialization; model selection; unsupervised learning algorithm; Application software; Computer science; Computer vision; Content based retrieval; Convergence; Image classification; Image retrieval; Image segmentation; Low pass filters; Unsupervised learning;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415351
