CA2365399A1 - Method for image texture analysis - Google Patents

Method for image texture analysis Download PDF

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Publication number
CA2365399A1
CA2365399A1 CA002365399A CA2365399A CA2365399A1 CA 2365399 A1 CA2365399 A1 CA 2365399A1 CA 002365399 A CA002365399 A CA 002365399A CA 2365399 A CA2365399 A CA 2365399A CA 2365399 A1 CA2365399 A1 CA 2365399A1
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CA
Canada
Prior art keywords
binary
image
operator
representations
texture analysis
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CA002365399A
Other languages
French (fr)
Other versions
CA2365399C (en
Inventor
Paul Jackway
Damian Jones
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
University of Adelaide
University of Queensland UQ
Commonwealth of Australia
University of South Australia
Telstra Corp Ltd
University of Melbourne
CEA Technologies Pty Ltd
Compaq Computer Australia Pty Ltd
RLM Systems Pty Ltd
Flinders University
Original Assignee
Individual
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Filing date
Publication date
Application filed by Individual filed Critical Individual
Publication of CA2365399A1 publication Critical patent/CA2365399A1/en
Application granted granted Critical
Publication of CA2365399C publication Critical patent/CA2365399C/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/40Analysis of texture
    • G06T7/41Analysis of texture based on statistical description of texture
    • G06T7/44Analysis of texture based on statistical description of texture using image operators, e.g. filters, edge density metrics or local histograms

Abstract

A method and apparatus for image texture analysis in which the image is mapped into a first set of binary representation by a monotonically varying operator, such as a threshold operator. Each binary representation in the first set of binary representations is mapped to a further set of binary representations using a second monotonically varying operator, such as a spatial operator. The result of the two mappings is a matrix of binary image representations. Each binary image representation is allocated a scalar value to form an array of scalar values which may be analysed to identify defined texture characteristics.
CA002365399A 1999-03-02 2000-03-01 Method for image texture analysis Expired - Fee Related CA2365399C (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
AUPP8984A AUPP898499A0 (en) 1999-03-02 1999-03-02 Method for image texture analysis
AUPP8984 1999-03-02
PCT/AU2000/000141 WO2000052647A1 (en) 1999-03-02 2000-03-01 Method for image texture analysis

Publications (2)

Publication Number Publication Date
CA2365399A1 true CA2365399A1 (en) 2000-09-08
CA2365399C CA2365399C (en) 2007-11-27

Family

ID=3813183

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002365399A Expired - Fee Related CA2365399C (en) 1999-03-02 2000-03-01 Method for image texture analysis

Country Status (8)

Country Link
US (1) US6882748B2 (en)
EP (1) EP1171845B1 (en)
JP (1) JP2002538558A (en)
AT (1) ATE361508T1 (en)
AU (1) AUPP898499A0 (en)
CA (1) CA2365399C (en)
DE (1) DE60034668T2 (en)
WO (1) WO2000052647A1 (en)

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US7587085B2 (en) * 2004-10-28 2009-09-08 Fotonation Vision Limited Method and apparatus for red-eye detection in an acquired digital image
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US7689009B2 (en) 2005-11-18 2010-03-30 Fotonation Vision Ltd. Two stage detection for photographic eye artifacts
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US20050140801A1 (en) * 2003-08-05 2005-06-30 Yury Prilutsky Optimized performance and performance for red-eye filter method and apparatus
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US20050175235A1 (en) * 2004-02-05 2005-08-11 Trw Automotive U.S. Llc Method and apparatus for selectively extracting training data for a pattern recognition classifier using grid generation
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WO2007095553A2 (en) 2006-02-14 2007-08-23 Fotonation Vision Limited Automatic detection and correction of non-red eye flash defects
ATE497218T1 (en) 2006-06-12 2011-02-15 Tessera Tech Ireland Ltd ADVANCES IN EXPANSING AAM TECHNIQUES FROM GRAYSCALE TO COLOR IMAGES
US8055067B2 (en) 2007-01-18 2011-11-08 DigitalOptics Corporation Europe Limited Color segmentation
KR101159830B1 (en) 2007-03-05 2012-06-26 디지털옵틱스 코포레이션 유럽 리미티드 Red eye false positive filtering using face location and orientation
US8503818B2 (en) 2007-09-25 2013-08-06 DigitalOptics Corporation Europe Limited Eye defect detection in international standards organization images
US8212864B2 (en) 2008-01-30 2012-07-03 DigitalOptics Corporation Europe Limited Methods and apparatuses for using image acquisition data to detect and correct image defects
US8081254B2 (en) 2008-08-14 2011-12-20 DigitalOptics Corporation Europe Limited In-camera based method of detecting defect eye with high accuracy
US8848800B2 (en) 2010-09-01 2014-09-30 Electronics And Telecommunications Research Institute Signal processing method and apparatus based on multiple textures using video sensor excitation signals
US8811477B2 (en) * 2010-09-01 2014-08-19 Electronics And Telecommunications Research Institute Video processing method and apparatus based on multiple texture images using video excitation signals
US10223590B2 (en) * 2016-08-01 2019-03-05 Qualcomm Incorporated Methods and systems of performing adaptive morphology operations in video analytics
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Also Published As

Publication number Publication date
DE60034668D1 (en) 2007-06-14
US20020051571A1 (en) 2002-05-02
DE60034668T2 (en) 2008-01-03
EP1171845A1 (en) 2002-01-16
JP2002538558A (en) 2002-11-12
CA2365399C (en) 2007-11-27
AUPP898499A0 (en) 1999-03-25
WO2000052647A1 (en) 2000-09-08
EP1171845A4 (en) 2005-04-20
ATE361508T1 (en) 2007-05-15
US6882748B2 (en) 2005-04-19
EP1171845B1 (en) 2007-05-02

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