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
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;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.559625
