DocumentCode
2697154
Title
Rotational invariant formulation for line process
Author
Sato, Masa-aki
fYear
1990
fDate
17-21 June 1990
Firstpage
891
Abstract
The vector line field is used to restore rotational invariance. The energy function for the vector line field can be constructed in a rotationally invariant way by using vector calculus. This energy function can be used both in stochastic relaxation and in an analog neural net. An advantage of this method is the introduction of a constraint requiring that the edge direction be perpendicular to the direction of the steepest intensity change
Keywords
neural nets; pattern recognition; relaxation theory; analog neural net; energy function; line process; rotational invariance; stochastic relaxation; vector line field;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/IJCNN.1990.137806
Filename
5726764
Link To Document