Title
Texture segregation employing orientation-selective analog multi-chip vision system
Abstract
A high resolution neuromorphic multi-chip vision system was fabricated to emulate the orientation selective response of the simple cell in the primary visual cortex. The vision system consists of two types of analog chips: a silicon retina and a simple cell chip. The center-surround concentric receptive fields of the silicon retina are aggregated in the simple cell chip, mimicking the hierarchical architecture in the visual system of the brain. Both chips have 100 times 100 pixels. Using the orientation-selective outputs obtained from the multi-chip system, texture segregation was conducted based on a computational model inspired by neurophysiology. The texture image was filtered by the two orthogonally oriented receptive fields of the multi-chip system and the filtered images were combined to segregate the area of different texture orientation with the aid of field programmable gate array (FPGA). The present multi-chip system is useful to emulate and verify computational models for texture segregation of the cortical cells
Year
DOI
Venue
2006
10.1109/ISCAS.2006.1692743
Island of Kos
Keywords
Field
DocType
VLSI,analogue processing circuits,field programmable gate arrays,image texture,FPGA,analog multi-chip vision system,brain,field programmable gate array,image filtering,orientation selective response,primary visual cortex,silicon retina,simple cell chip,texture orientation,texture segregation
Receptive field,Computer vision,Machine vision,Image texture,Computer science,Simple cell,Neuromorphic engineering,Electronic engineering,Chip,Computational model,Artificial intelligence,Pixel
Conference
ISSN
ISBN
Citations 
0271-4302
0-7803-9389-9
0
PageRank 
References 
Authors
0.34
5
2
Name
Order
Citations
PageRank
Kazuhiro Shimonomura15713.11
Tetsuya Yagi214027.73