Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/993| Title: | TEXTURE CLASSIFICATION METHODS: A REVIEW |
| Authors: | Bhandare, Sonal B. Kamlapurkar, S. M. |
| Keywords: | Patch based local features, Feature encoding, Texture Classification |
| Issue Date: | Apr-2017 |
| Publisher: | International Journal Of Science Research And Technology |
| Abstract: | Texture classification is an important area of re-search in pattern recognition and image processing. It is widely used in real world applications like object detection, face recognition, medical image processing, agriculture etc. Texture has no deterministic shape or specific structure like other natural images. Texture is treated as indication for getting significant knowledge about the texture class. Since last one decade texture classification methods mainly uses patch based local features and feature encoding techniques. So in this paper some representative methods for each of the context are analysed. |
| URI: | http://192.168.3.232:8080/jspui/handle/123456789/993 |
| ISSN: | 2379-3686 |
| Appears in Collections: | PG - Students |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| journal paper 3.pdf | TEXTURE CLASSIFICATION METHODS: A REVIEW | 260.34 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.