Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/9680Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chaira, Tamalika | - |
| dc.date.accessioned | 2010-06-04T06:57:15Z | - |
| dc.date.available | 2010-06-04T06:57:15Z | - |
| dc.date.issued | 2010-06 | - |
| dc.identifier.issn | 0975-1084 (Online); 0022-4456 (Print) | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/9680 | - |
| dc.description | 426-432 | en_US |
| dc.description.abstract | An improvised technique is proposed in detecting and extracting color regions of an image using intuitionistic fuzzy set (IFS)theory. This will be very useful especially for remotely sensed images where different types of regions (agricultural, watery, orvolcanic) are to be extracted. Comparing with non-fuzzy and fuzzy method, results of an extracted image were found better dueto consideration of uncertainty in the form of a hesitation degree while defining membership function in IFS. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | CSIR | en_US |
| dc.source | JSIR Vol.69(06) [June 2010] | en_US |
| dc.subject | Hesitation degree | en_US |
| dc.subject | Histogram back projection | en_US |
| dc.subject | Intuitionistic fuzzy set | en_US |
| dc.subject | Membership function | en_US |
| dc.subject | Region extraction | en_US |
| dc.title | Intuitionistic fuzzy set approach for color region extraction | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | JSIR Vol.69(06) [June 2010] | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JSIR 69(6) 426-432.pdf | 711.68 kB | Adobe PDF | View/Open |
Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.