DocumentCode :
3621782
Title :
Image segmentation as the search for the best description in terms of primitives
Author :
A. Leonardis;A. Gupta;R. Bajcsy
Author_Institution :
Dept. of Comput. & Inf. Sci., Pennsylvania Univ., Philadelphia, PA, USA
fYear :
1991
fDate :
6/13/1905 12:00:00 AM
Firstpage :
1209
Abstract :
A new paradigm is presented for the segmentation of images into piecewise continuous patches. Data aggregation is performed via model recovery in terms of variable-order bi-variate polynomials using iterative regression. All the recovered models are potential candidates for the final description of the data. Selection of the models is achieved through maximization of a quadratic Boolean problem. The major novelty of the approach is in combining model extraction and model selection.
Keywords :
"Image segmentation","Surface fitting","Layout","Laboratories","Information science","Polynomials","Diversity reception","Data mining","Shape","Iterative methods"
Publisher :
ieee
Conference_Titel :
Electrotechnical Conference, 1991. Proceedings., 6th Mediterranean
Print_ISBN :
0-87942-655-1
Type :
conf
DOI :
10.1109/MELCON.1991.162059
Filename :
162059
Link To Document :
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