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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Roop Kishor Goyal.
مؤلفون آخرون: Goh, Wee Leng
التنسيق: Theses and Dissertations
اللغة:English
منشور في: 2009
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/10356/19768
الوسوم: إضافة وسم
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المؤسسة: Nanyang Technological University
اللغة: English
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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
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