DocumentCode
3221349
Title
Top-down and bottom-up image processing
Author
Stark, Lawrence W. ; Privitera, Claudio
Author_Institution
Neurology & Telerobotics Units, California Univ., Berkeley, CA, USA
Volume
4
fYear
1997
fDate
9-12 Jun 1997
Firstpage
2294
Abstract
We introduce the problem of fitting a picture to the eye, by referring to the scanpath theory for top-down vision in humans and discuss how even such early processes as segmentation are likely controlled top-down by internal cognitive-spatial models. Experimental evidence is adduced for this view of human vision. The internal model must approximate the external world, since our species has survived. Alternately, certain bottom-up image processing algorithms may inversely serve to identify approximate sub-features or regions of interest of the internal model. Our results indicate, however, that these algorithms can not predict the sequential ordering of the subfeatures used by a person. Applications of schemata exploiting the above notions are suggested for: image compression; guided viewing of computer screens for increased efficiency; and compensating distortions for such eye lesions as scotomas
Keywords
data compression; image processing; image segmentation; visual perception; bottom-up processing; cognitive-spatial models; distortion compensation; human vision; image compression; image processing; region of interest; scanpath theory; segmentation; top-down processing; Application software; Humans; Image coding; Image processing; Image segmentation; Lesions; Medical services; Nervous system; Physics; Telerobotics;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks,1997., International Conference on
Conference_Location
Houston, TX
Print_ISBN
0-7803-4122-8
Type
conf
DOI
10.1109/ICNN.1997.614411
Filename
614411
Link To Document