DocumentCode
304580
Title
Unsupervised contour estimation
Author
Figueiredo, Mário A T ; Leitão, José M N
Author_Institution
Dept. de Engenharia Electrotecnica e de Comput., Inst. Superior Tecnico, Lisbon, Portugal
Volume
1
fYear
1996
fDate
16-19 Sep 1996
Firstpage
821
Abstract
We introduce a fully adaptive active contour model in which no parameters have to be set a priori or tuned by the user. It is based on elliptic Fourier contour description and on the minimum description length (MDL) principle. The proposed technique estimates all the observation model parameters (e.g., noise variances), the order of the contour description (number of Fourier coefficients), and the contour itself
Keywords
Fourier series; adaptive estimation; edge detection; parameter estimation; Fourier coefficients; MDL; adaptive active contour model; algorithms; contour description; edge detection; elliptic Fourier contour description; minimum description length principle; noise variances; observation model parameters; parameter estimation; unsupervised contour estimation; Active contours; Bayesian methods; Computer vision; Deformable models; Fourier series; Frequency; Shape; Telecommunications;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1996. Proceedings., International Conference on
Conference_Location
Lausanne
Print_ISBN
0-7803-3259-8
Type
conf
DOI
10.1109/ICIP.1996.559625
Filename
559625
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