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...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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2009
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| Online Access: | http://hdl.handle.net/10356/19768 |
| _version_ | 1826111094197846016 |
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| author | Roop Kishor Goyal. |
| author2 | Goh, Wee Leng |
| author_facet | Goh, Wee Leng Roop Kishor Goyal. |
| author_sort | Roop Kishor Goyal. |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T02:45:00Z |
| format | Thesis |
| id | ntu-10356/19768 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:45:00Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Roop Kishor Goyal. Invariant attribute computation and characterisation of surface texture |
| title | 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_short | Invariant attribute computation and characterisation of surface texture |
| title_sort | invariant attribute computation and characterisation of surface texture |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/19768 |
| work_keys_str_mv | AT roopkishorgoyal invariantattributecomputationandcharacterisationofsurfacetexture |