Classification of natural textures by means of two-dimensional orthogonal masks
An approach to texture classification in which each local neighborhood is transformed reversibly into a minimal set of uncorrelated features is described. These features are found to represent local average, as well as first- and second-order derivative information of the texture. Comparison to othe...
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Veröffentlicht in: | IEEE transactions on acoustics, speech, and signal processing speech, and signal processing, 1989-01, Vol.37 (1), p.125-128 |
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container_title | IEEE transactions on acoustics, speech, and signal processing |
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creator | Cohen, P. LeDinh, C.T. Lacasse, V. |
description | An approach to texture classification in which each local neighborhood is transformed reversibly into a minimal set of uncorrelated features is described. These features are found to represent local average, as well as first- and second-order derivative information of the texture. Comparison to other techniques of similar complexity, using identical classification procedures, shows the superiority of the proposed approach. Moreover, this approach leads directly to a real-time parallel implementation.< > |
doi_str_mv | 10.1109/29.17510 |
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Moreover, this approach leads directly to a real-time parallel implementation.< ></description><subject>Covariance matrix</subject><subject>Filters</subject><subject>Image analysis</subject><subject>Image texture analysis</subject><subject>Minerals</subject><subject>Petroleum</subject><subject>Probability</subject><subject>Signal processing</subject><subject>Speech processing</subject><subject>Speech recognition</subject><issn>0096-3518</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1989</creationdate><recordtype>article</recordtype><recordid>eNpFjzFPwzAUhD2ARClIrGwZWVKenbixRxQBRarUpXtkxzYYkhj5GUH_PW6KhG54J92npztCbiisKAV5z-SKNpzCGVkAyHVZcSouyCXiOwCtBWcLsmsHheid71XyYSqCKyaVvqIaimR_srFY6EMxWjXhMUzfoTR-tBNmOkMhprfwOttR4QdekXOnBrTXf3dJ9k-P-3ZTbnfPL-3DtuxZXaXSiXXTU1rrhrmshoMUWveGc2mg4UoaxrjJDZ3hTmcMBKuE0LUBIYyuluTu9LaPATFa131GP6p46Ch0x-0dk928PaO3J9Rba_-xOfsFEC5WyQ</recordid><startdate>198901</startdate><enddate>198901</enddate><creator>Cohen, P.</creator><creator>LeDinh, C.T.</creator><creator>Lacasse, V.</creator><general>IEEE</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>198901</creationdate><title>Classification of natural textures by means of two-dimensional orthogonal masks</title><author>Cohen, P. ; LeDinh, C.T. ; Lacasse, V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c243t-f867c114b72f2f275098bbcd559d075a9d225d852fd5fb4b7082388b4d088db3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1989</creationdate><topic>Covariance matrix</topic><topic>Filters</topic><topic>Image analysis</topic><topic>Image texture analysis</topic><topic>Minerals</topic><topic>Petroleum</topic><topic>Probability</topic><topic>Signal processing</topic><topic>Speech processing</topic><topic>Speech recognition</topic><toplevel>online_resources</toplevel><creatorcontrib>Cohen, P.</creatorcontrib><creatorcontrib>LeDinh, C.T.</creatorcontrib><creatorcontrib>Lacasse, V.</creatorcontrib><collection>CrossRef</collection><jtitle>IEEE transactions on acoustics, speech, and signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Cohen, P.</au><au>LeDinh, C.T.</au><au>Lacasse, V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Classification of natural textures by means of two-dimensional orthogonal masks</atitle><jtitle>IEEE transactions on acoustics, speech, and signal processing</jtitle><stitle>T-ASSP</stitle><date>1989-01</date><risdate>1989</risdate><volume>37</volume><issue>1</issue><spage>125</spage><epage>128</epage><pages>125-128</pages><issn>0096-3518</issn><coden>IETABA</coden><abstract>An approach to texture classification in which each local neighborhood is transformed reversibly into a minimal set of uncorrelated features is described. 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subjects | Covariance matrix Filters Image analysis Image texture analysis Minerals Petroleum Probability Signal processing Speech processing Speech recognition |
title | Classification of natural textures by means of two-dimensional orthogonal masks |
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