DocumentCode :
2772769
Title :
Analysis of Three Parametric Active Models and a Solution to Adjust Their Parameters
Author :
Tello, M. A Torres ; Romero, R. Rosas ; Estrada, M. O Arias
Author_Institution :
UDLA, Puebla
Volume :
2
fYear :
2006
fDate :
26-29 Sept. 2006
Firstpage :
3
Lastpage :
8
Abstract :
Active models or snakes are mainly used for detection of certain characteristics defined by the user using prior knowledge. In this paper an analysis of the main characteristics of three parametric active models (Kass, Cohen and Xu) is done. A comparative table is shown to help the user to define which could be the best model according to the application. Finally an experimental design is used to adjust the parameters of the models to guarantee a desired output
Keywords :
edge detection; object detection; object detection; parametric active model; Computer languages; Design for experiments; Differential equations; Educational institutions; Filters; Image analysis; Image edge detection; Mathematical model; Object detection; Permission;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2006
Conference_Location :
Cuernavaca
Print_ISBN :
0-7695-2569-5
Type :
conf
DOI :
10.1109/CERMA.2006.17
Filename :
4019761
Link To Document :
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