Image Intensity Understanding
| dc.date.accessioned | 2004-10-04T14:46:51Z | |
| dc.date.accessioned | 2018-11-24T10:12:32Z | |
| dc.date.available | 2004-10-04T14:46:51Z | |
| dc.date.available | 2018-11-24T10:12:32Z | |
| dc.date.issued | 1975-08-01 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/6236 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/6236 | |
| dc.description.abstract | Image intensities have been processed traditionally without much regard to how they arise. Typically they are used only to segment an image into regions or to find edge-fragments. Image intensities do carry a great deal of useful information about three-dimensional aspects of objects and some initial attempts are made here to exploit this. An understanding of how images are formed and what determines the amount of light reflected from a point on an object to the viewer is vital to such a development. The gradient-space, popularized by Huffman and Mackworth is a helpful tool in this regard. | en_US |
| dc.format.extent | 4020861 bytes | |
| dc.format.extent | 2898439 bytes | |
| dc.language.iso | en_US | |
| dc.title | Image Intensity Understanding | en_US |
Files in this item
| Files | Size | Format | View |
|---|---|---|---|
| AIM-335.pdf | 2.898Mb | application/pdf | View/ |
| AIM-335.ps | 4.020Mb | application/postscript | View/ |