Some Experimental Results on Linear Estimation for Image Analysis.
SOUTHEASTERN MASSACHUSETTS UNIV NORTH DARTMOUTH DEPT OF ELECTRICAL ENGINEERING
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Based on a constructed textured subimage, an experimental comparison is made on the three linear estimation methods for image segmentation, namely the maximum likelihood estimation, the maximum a posteriori estimation and the Fishers linear discriminant. The last two methods are shown to be feasible for effective image segmentation. Author
- Statistics and Probability