Curvature and orientation estimation by neuronal structures

Author

Tanaka, Júlia Sawaki ; Manoel, Edson Tadeu Monteiro ; Costa, Luciano Da Fontoura

Author_Institution

Cybern. Vision Res. Group, Sao Paulo Univ., Brazil

fYear

2000

fDate

2000

Firstpage

44

Lastpage

51

Abstract

The paper presents a simple model of curvature and orientation estimation by neural networks where a pair of neurons is used to approximate the partial differential operators needed for curvature and orientation estimation. The influence of neuronal morphometry in the estimation of curvature and orientation is investigated and discussed. In addition, the biological plausibility of the model is discussed, and simulation results are presented along a sequence of increasing plausibility and sophistication. Steerable filters are considered as a means to increase the model efficiency

Keywords

computer vision; image recognition; neural nets; computer vision; curvature estimation; neural networks; neuronal morphometry; neurons; orientation estimation; partial differential operators; simulation; Biological neural networks; Biological system modeling; Cybernetics; Design for quality; Equations; Filters; Humans; Neural networks; Neurons; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Graphics and Image Processing, 2000. Proceedings XIII Brazilian Symposium on

Conference_Location

Gramado

ISSN

1530-1834

Print_ISBN

0-7695-0878-2

Type

conf

DOI

10.1109/SIBGRA.2000.883893

Filename

883893