Analyzing Natural Images: A Computational Theory of Texture Vision
| dc.date.accessioned | 2004-10-04T14:46:50Z | |
| dc.date.accessioned | 2018-11-24T10:12:32Z | |
| dc.date.available | 2004-10-04T14:46:50Z | |
| dc.date.available | 2018-11-24T10:12:32Z | |
| dc.date.issued | 1975-06-01 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/6235 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/6235 | |
| dc.description.abstract | A theory of early and intermediate visual information processing is given, which extends to about the level of figure-ground separation. Its core is a computational theory of texture vision. Evidence obtained from perceptual and from computational experiments is adduced in its support. A consequence of the theory is that high-level knowledge about the world influences visual processing later and in a different way from that currently practiced in machine vision. | en_US |
| dc.format.extent | 3873026 bytes | |
| dc.format.extent | 2710772 bytes | |
| dc.language.iso | en_US | |
| dc.title | Analyzing Natural Images: A Computational Theory of Texture Vision | en_US |
Files in this item
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|---|---|---|---|
| AIM-334.pdf | 2.710Mb | application/pdf | View/ |
| AIM-334.ps | 3.873Mb | application/postscript | View/ |