Title | ||
---|---|---|
Detection of Oriented Repetitive Alternating Patterns in Color Images (A Computational Model of Monkey Grating Cells) |
Abstract | ||
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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 Lourens | 1 | 304 | 34.25 |
Hiroshi G. Okuno | 2 | 2092 | 233.19 |
Hiroaki Kitano | 3 | 3515 | 539.37 |