Texture features for image classification and retrieval
Texture is an important element of vision, and it occurs in a variety of natural and man-made objects. Being abundant in this world, humans often use textures as cues to recognize many kinds of objects. Various commercial applications have successfully used texture as a basis for image representatio...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
2008
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/3749 |
| _version_ | 1826123536887971840 |
|---|---|
| author | Wong, Kee Tung. |
| author2 | Ho, Anthony Tung Shuen |
| author_facet | Ho, Anthony Tung Shuen Wong, Kee Tung. |
| author_sort | Wong, Kee Tung. |
| collection | NTU |
| description | Texture is an important element of vision, and it occurs in a variety of natural and man-made objects. Being abundant in this world, humans often use textures as cues to recognize many kinds of objects. Various commercial applications have successfully used texture as a basis for image representation. Textures can be analyzed by measuring some quantities from the power spectrum. |
| first_indexed | 2024-10-01T06:06:16Z |
| format | Thesis |
| id | ntu-10356/3749 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T06:06:16Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/37492023-07-04T15:08:29Z Texture features for image classification and retrieval Wong, Kee Tung. Ho, Anthony Tung Shuen School of Electrical and Electronic Engineering Chen, Yan Qiu DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Texture is an important element of vision, and it occurs in a variety of natural and man-made objects. Being abundant in this world, humans often use textures as cues to recognize many kinds of objects. Various commercial applications have successfully used texture as a basis for image representation. Textures can be analyzed by measuring some quantities from the power spectrum. Master of Engineering 2008-09-17T09:36:43Z 2008-09-17T09:36:43Z 2002 2002 Thesis http://hdl.handle.net/10356/3749 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Wong, Kee Tung. Texture features for image classification and retrieval |
| title | Texture features for image classification and retrieval |
| title_full | Texture features for image classification and retrieval |
| title_fullStr | Texture features for image classification and retrieval |
| title_full_unstemmed | Texture features for image classification and retrieval |
| title_short | Texture features for image classification and retrieval |
| title_sort | texture features for image classification and retrieval |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
| url | http://hdl.handle.net/10356/3749 |
| work_keys_str_mv | AT wongkeetung texturefeaturesforimageclassificationandretrieval |