Editing Mixture model (section)

===Fuzzy image segmentation===
[[File:Movie.gif|thumb|An example of Gaussian Mixture in image segmentation with grey histogram]]
In image processing and computer vision, traditional [[image segmentation]] models often assign to one [[pixel]] only one exclusive pattern. In fuzzy or soft segmentation, any pattern can have certain "ownership" over any single pixel. If the patterns are Gaussian, fuzzy segmentation naturally results in Gaussian mixtures. Combined with other analytic or geometric tools (e.g., phase transitions over diffusive boundaries), such spatially regularized mixture models could lead to more realistic and computationally efficient segmentation methods.<ref>
{{cite journal 
| last = Shen | first = Jianhong (Jackie) 
| title = A stochastic-variational model for soft Mumford-Shah segmentation
| date = 2006 
| volume=2006
| pages=2–16
| journal=International Journal of Biomedical Imaging
| doi=10.1155/IJBI/2006/92329
| pmid = 23165059 
| pmc = 2324060 
| bibcode = 2006IJBI.200649515H 
| doi-access = free 
}}</ref>