Title
Detection of Oriented Repetitive Alternating Patterns in Color Images (A Computational Model of Monkey Grating Cells)
Abstract
In 1992 neurophysiologists [20] found a new type of cells in areas V1 and V2 of the monkey primary visual cortex, which they called grating cells. These cells respond vigorously to a grating pattern of appropriate orientation and periodicity. Three years later a computational model inspired by these findings was published [9]. The study of this paper is to create a grating cell operator that has similar response profiles as monkey grating cells have. Three different databases containing a total of 338 real world images of textures are applied to the new operator to get better a insight to which natural patterns grating cells respond. Based on these images, our findings are that grating cells respond best to repetitive alternating patterns of a specific orientation. These patterns are in common human made structures, like buildings, fabrics, and tiles.
Year
Venue
Keywords
2001
IWANN (1)
areas v1,monkey primary visual cortex,new type,grating cell operator,oriented repetitive alternating patterns,computational model,grating cell,appropriate orientation,specific orientation,monkey grating cells,color images,new operator,grating pattern,color image,computer model
Field
DocType
ISBN
Computer vision,Grating pattern,Grating,Visual cortex,Checkerboard pattern,Complex cell,Pattern recognition,Computer science,Image texture,Simple cell,Artificial intelligence,Color image
Conference
3-540-42235-8
Citations 
PageRank 
References 
2
0.52
4
Authors
3
Name
Order
Citations
PageRank
Tino Lourens130434.25
Hiroshi G. Okuno22092233.19
Hiroaki Kitano33515539.37