Computational Model for Machine Vision Inspection Based on Vision Attention
2011 ◽
Vol 383-390
◽
pp. 2398-2403
Keyword(s):
Top Down
◽
Human vision system exploits this fact by visual selective attention mechanisms towards important and informative regions. A computational model of combination both bottom-up and top-down simulating human vision system for machine vision inspection is proposed. In this model, top-down knowledge-based information is highlighted to integrate into bottom-up stimulus-based process of vision attention. The model is tested on inspecting contaminants in cotton images. Experiment result shows that the proposed model is feasible and effective in visual inspection. And it is available and quasi-equivalent to human vision attention.
Keyword(s):
Keyword(s):
2017 ◽
Vol 11
(4)
◽
pp. 629-637
◽
Keyword(s):
Image Quality Assessment Method Based on Contrast Sensitivity Characteristics of Human Vision System
2011 ◽
Vol 26
(3)
◽
pp. 390-396
◽
2004 ◽
Vol 28
(6)
◽
pp. 867-875
◽
Keyword(s):
Keyword(s):
2019 ◽
Vol 33
(06)
◽
pp. 1955007