Please use this identifier to cite or link to this item:
http://hdl.handle.net/10263/5370
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sarkar, Nirupam | - |
dc.contributor.author | Chaudhuri, B B | - |
dc.date.accessioned | 2013-05-23T07:49:17Z | - |
dc.date.available | 2013-05-23T07:49:17Z | - |
dc.date.issued | 1992 | - |
dc.identifier.citation | PR, v 25. no 9,p 1035-1041 | en_US |
dc.identifier.uri | http://hdl.handle.net/10263/5370 | - |
dc.language.iso | en | en_US |
dc.subject | Ffractal dimansion | en_US |
dc.subject | Texture analysis | en_US |
dc.subject | Image segmentation | en_US |
dc.subject | Computer vision | en_US |
dc.subject | Image roughness measure | en_US |
dc.title | An efficient approach to estimate fractal dimension of textual images | en_US |
dc.type | Article | en_US |
Appears in Collections: | Electronics |
Files in This Item:
File | Description | Size | Format | |
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An efficient approach to estimate fractal dimension of textual images- PR-25-9-1992- p 1035-1041.pdf | 7.37 MB | Adobe PDF | View/Open |
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