Towards Texture Classification in Real Scenes

P. Southam; R. W. Harvey

Towards Texture Classification in Real Scenes

Research output: Contribution to conference › Paper

8 Citations (Scopus)

Abstract

Two new texture features, based on morphological scale-space processors are introduced. The new methods are shown to have good performance over a variety of tests. We demonstrate that if texture classifies are to be used in real world scenes, then the choice of test is critical and that Brodatz-like tests are unlikely to represent reality.

Original language	English
Pages	240-249
Number of pages	10
Publication status	Published - Sept 2005
Event	British Machine Vision Conference - Oxford Brookes University, Oxford, United Kingdom Duration: 5 Sept 2005 → 8 Sept 2005

Conference

Conference	British Machine Vision Conference
Country/Territory	United Kingdom
City	Oxford
Period	5/09/05 → 8/09/05

Cite this

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title = "Towards Texture Classification in Real Scenes",

abstract = "Two new texture features, based on morphological scale-space processors are introduced. The new methods are shown to have good performance over a variety of tests. We demonstrate that if texture classifies are to be used in real world scenes, then the choice of test is critical and that Brodatz-like tests are unlikely to represent reality.",

author = "P. Southam and Harvey, {R. W.}",

year = "2005",

month = sep,

language = "English",

pages = "240--249",

note = "British Machine Vision Conference ; Conference date: 05-09-2005 Through 08-09-2005",

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TY - CONF

T1 - Towards Texture Classification in Real Scenes

AU - Southam, P.

AU - Harvey, R. W.

PY - 2005/9

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AB - Two new texture features, based on morphological scale-space processors are introduced. The new methods are shown to have good performance over a variety of tests. We demonstrate that if texture classifies are to be used in real world scenes, then the choice of test is critical and that Brodatz-like tests are unlikely to represent reality.

M3 - Paper

SP - 240

EP - 249

T2 - British Machine Vision Conference

Y2 - 5 September 2005 through 8 September 2005

ER -