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...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Theses and Dissertations |
Published: |
2008
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/3749 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
id |
sg-ntu-dr.10356-3749 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.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 |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
topic |
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Wong, Kee Tung. Texture features for image classification and retrieval |
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. |
author2 |
Ho, Anthony Tung Shuen |
author_facet |
Ho, Anthony Tung Shuen Wong, Kee Tung. |
format |
Theses and Dissertations |
author |
Wong, Kee Tung. |
author_sort |
Wong, Kee Tung. |
title |
Texture features for image classification and retrieval |
title_short |
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_sort |
texture features for image classification and retrieval |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/3749 |
_version_ |
1772827445082193920 |