Research of spectrum measurement of texture image
Due to the gray change, the directionality and periodicity of texture image is beyond description. In order to solve the problem, this paper proposes a method of Fourier spectrum analysis for periodic texture image measurement. The conversion from spatial domain to frequency domain by Fourier transf...
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| creator | Dengchao Feng Chunlin Li Cheng Xiao Wei Sun |
| description | Due to the gray change, the directionality and periodicity of texture image is beyond description. In order to solve the problem, this paper proposes a method of Fourier spectrum analysis for periodic texture image measurement. The conversion from spatial domain to frequency domain by Fourier transform is executed and the quantitative description of periodicity and directionality characteristics are realized as well. Experiment results prove the effectiveness of this algorithm. |
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In order to solve the problem, this paper proposes a method of Fourier spectrum analysis for periodic texture image measurement. The conversion from spatial domain to frequency domain by Fourier transform is executed and the quantitative description of periodicity and directionality characteristics are realized as well. Experiment results prove the effectiveness of this algorithm.</description><identifier>ISSN: 2154-4824</identifier><identifier>ISBN: 1467344974</identifier><identifier>ISBN: 9781467344975</identifier><identifier>EISSN: 2154-4832</identifier><identifier>EISBN: 9781889334479</identifier><identifier>EISBN: 1889334472</identifier><identifier>EISBN: 9781889335479</identifier><language>eng</language><publisher>IEEE</publisher><subject>Aerospace engineering ; Algorithm design and analysis ; Directionality ; Educational institutions ; Feature extraction ; Fourier transform ; Fourier transforms ; Frequency domain analysis ; Periodicity ; Spectrogram ; Spectrum measurement ; Texture</subject><ispartof>World Automation Congress 2012, 2012, p.163-165</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6321279$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6321279$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Dengchao Feng</creatorcontrib><creatorcontrib>Chunlin Li</creatorcontrib><creatorcontrib>Cheng Xiao</creatorcontrib><creatorcontrib>Wei Sun</creatorcontrib><title>Research of spectrum measurement of texture image</title><title>World Automation Congress 2012</title><addtitle>WAC</addtitle><description>Due to the gray change, the directionality and periodicity of texture image is beyond description. 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Experiment results prove the effectiveness of this algorithm.</description><subject>Aerospace engineering</subject><subject>Algorithm design and analysis</subject><subject>Directionality</subject><subject>Educational institutions</subject><subject>Feature extraction</subject><subject>Fourier transform</subject><subject>Fourier transforms</subject><subject>Frequency domain analysis</subject><subject>Periodicity</subject><subject>Spectrogram</subject><subject>Spectrum measurement</subject><subject>Texture</subject><issn>2154-4824</issn><issn>2154-4832</issn><isbn>1467344974</isbn><isbn>9781467344975</isbn><isbn>9781889334479</isbn><isbn>1889334472</isbn><isbn>9781889335479</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9TttKAzEUjDew1v0CX_YHFnKSk5zkUYo3KAjSPpfs7omuuFqSFPTvjSjOyzAzMDNHovHkwDmvNSL5Y7FQYLBDp9WJuAC0VH1PePofKDwXTc6vssJUqeVCwBNnDml4aT9im_c8lHSY25lDPiSe-b38-IU_S5XtNIdnvhRnMbxlbv54Kba3N5vVfbd-vHtYXa-7CciUji1ZaRRBYAbJhlSMfnSjHyFA7CVob5BMjz2GMMYBrFRRWiSwLnI9txRXv70TM-_2qY6nr53VChR5_Q1VrkMx</recordid><startdate>201206</startdate><enddate>201206</enddate><creator>Dengchao Feng</creator><creator>Chunlin Li</creator><creator>Cheng Xiao</creator><creator>Wei Sun</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201206</creationdate><title>Research of spectrum measurement of texture image</title><author>Dengchao Feng ; Chunlin Li ; Cheng Xiao ; Wei Sun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-e67605271aee10e572ff9d8d9d1a1fb01395475b4b4aadfc1602f0647168fe823</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Aerospace engineering</topic><topic>Algorithm design and analysis</topic><topic>Directionality</topic><topic>Educational institutions</topic><topic>Feature extraction</topic><topic>Fourier transform</topic><topic>Fourier transforms</topic><topic>Frequency domain analysis</topic><topic>Periodicity</topic><topic>Spectrogram</topic><topic>Spectrum measurement</topic><topic>Texture</topic><toplevel>online_resources</toplevel><creatorcontrib>Dengchao Feng</creatorcontrib><creatorcontrib>Chunlin Li</creatorcontrib><creatorcontrib>Cheng Xiao</creatorcontrib><creatorcontrib>Wei Sun</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dengchao Feng</au><au>Chunlin Li</au><au>Cheng Xiao</au><au>Wei Sun</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Research of spectrum measurement of texture image</atitle><btitle>World Automation Congress 2012</btitle><stitle>WAC</stitle><date>2012-06</date><risdate>2012</risdate><spage>163</spage><epage>165</epage><pages>163-165</pages><issn>2154-4824</issn><eissn>2154-4832</eissn><isbn>1467344974</isbn><isbn>9781467344975</isbn><eisbn>9781889334479</eisbn><eisbn>1889334472</eisbn><eisbn>9781889335479</eisbn><abstract>Due to the gray change, the directionality and periodicity of texture image is beyond description. In order to solve the problem, this paper proposes a method of Fourier spectrum analysis for periodic texture image measurement. The conversion from spatial domain to frequency domain by Fourier transform is executed and the quantitative description of periodicity and directionality characteristics are realized as well. Experiment results prove the effectiveness of this algorithm.</abstract><pub>IEEE</pub><tpages>3</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Aerospace engineering Algorithm design and analysis Directionality Educational institutions Feature extraction Fourier transform Fourier transforms Frequency domain analysis Periodicity Spectrogram Spectrum measurement Texture |
| title | Research of spectrum measurement of texture image |
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