Visible Edges Thresholding: a HVS based Approach

Author

Hautière, Nicolas ; Aubert, Didier

Author_Institution

LIVIC, INRETS-LCPC, Versailles

Volume

2

fYear

0

fDate

0-0 0

Firstpage

155

Lastpage

158

Abstract

This paper presents a technique, which determines whether an edge is visible for a human eye or not. First, a threshold function is built according to the optical characteristics of the sensor and a contrast sensitivity function (CSF). Then, the DCT coefficients of each 8times8 block are computed. For each one, the computed spectrum is compared with the previous threshold function, which enables to conclude about the presence of visible picture elements. Finally, this information is applied to edges detection using a binarization technique. Results are given on images grabbed onboard a moving vehicle

Keywords

discrete cosine transforms; edge detection; image segmentation; DCT coefficients; binarization technique; contrast sensitivity function; edge detection; human visual system; threshold function; visible edges thresholding; Cameras; Charge coupled devices; Charge-coupled image sensors; Discrete cosine transforms; Humans; Image edge detection; Optical sensors; Sensor arrays; Sensor phenomena and characterization; Solid modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.1177

Filename

1699170