Invariant attribute computation and characterisation of surface texture
Texture is an important property for identification of objects in a scene. Texture analysis techniques can be broadly classified into two categories, namely statistical and structural techniques. Statistical techniques consider an image as a random field and compute local features of image. Structur...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2009
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/19768 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| id |
sg-ntu-dr.10356-19768 |
|---|---|
| record_format |
dspace |
| spelling |
sg-ntu-dr.10356-197682023-07-04T16:02:30Z Invariant attribute computation and characterisation of surface texture Roop Kishor Goyal. Goh, Wee Leng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Texture is an important property for identification of objects in a scene. Texture analysis techniques can be broadly classified into two categories, namely statistical and structural techniques. Statistical techniques consider an image as a random field and compute local features of image. Structural techniques characterise a texture image on the basis of the texture element attributes and their placement. Master of Engineering 2009-12-14T06:36:54Z 2009-12-14T06:36:54Z 1994 1994 Thesis http://hdl.handle.net/10356/19768 en NANYANG TECHNOLOGICAL UNIVERSITY 145 p. application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| language |
English |
| topic |
DRNTU::Engineering::Electrical and electronic engineering |
| spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering Roop Kishor Goyal. Invariant attribute computation and characterisation of surface texture |
| description |
Texture is an important property for identification of objects in a scene. Texture analysis techniques can be broadly classified into two categories, namely statistical and structural techniques. Statistical techniques consider an image as a random field and compute local features of image. Structural techniques characterise a texture image on the basis of the texture element attributes and their placement. |
| author2 |
Goh, Wee Leng |
| author_facet |
Goh, Wee Leng Roop Kishor Goyal. |
| format |
Theses and Dissertations |
| author |
Roop Kishor Goyal. |
| author_sort |
Roop Kishor Goyal. |
| title |
Invariant attribute computation and characterisation of surface texture |
| title_short |
Invariant attribute computation and characterisation of surface texture |
| title_full |
Invariant attribute computation and characterisation of surface texture |
| title_fullStr |
Invariant attribute computation and characterisation of surface texture |
| title_full_unstemmed |
Invariant attribute computation and characterisation of surface texture |
| title_sort |
invariant attribute computation and characterisation of surface texture |
| publishDate |
2009 |
| url |
http://hdl.handle.net/10356/19768 |
| _version_ |
1772825384960655360 |