Generation and Detection of Alignments in Gabor Patterns
Samy Blusseau, Rafael Grompone von Gioi
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.