Generation and Detection of Alignments in Gabor Patterns
Samy Blusseau, Rafael Grompone von Gioi
→ BibTeX
    title   = {{Generation and Detection of Alignments in Gabor Patterns}},
    author  = {Blusseau, Samy and Grompone von Gioi, Rafael},
    journal = {{Image Processing On Line}},
    volume  = {6},
    pages   = {268--299},
    year    = {2016},
    doi     = {10.5201/ipol.2016.177},
% if your bibliography style doesn't support doi fields:
    note    = {\url{}}
Samy Blusseau, and Rafael Grompone von Gioi, Generation and Detection of Alignments in Gabor Patterns, Image Processing On Line, 6 (2016), pp. 268–299.

Communicated by Gregory Randall
Demo edited by Samy Blusseau


This paper presents a method to be used in psychophysical experiments to compare directly visual perception to an a contrario algorithm, on a straight patterns detection task. The method is composed of two parts. The first part consists in building a stimulus, namely an array of oriented elements, in which an alignment is present with variable salience. The second part focuses on a detection algorithm, based on the a contrario theory, which is designed to predict which alignment will be considered as the most salient in a given stimulus.