Rapid Measurement of Wood Fiber Width Based on Information Extraction and Gray Projection
In order to determine whether the fibers obtained meet the processing requirements in the extraction of wood fiber, the fibers need to be measured. The width of the fiber is usually obtained through manual measurement that requires sophisticated equipment, the error is large and the detection speed...
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| Veröffentlicht in: | Sensors & transducers 2014-07, Vol.174 (7), p.235-235 |
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| creator | Hong, Qi Honge, Ren Shaoqing, Tian |
| description | In order to determine whether the fibers obtained meet the processing requirements in the extraction of wood fiber, the fibers need to be measured. The width of the fiber is usually obtained through manual measurement that requires sophisticated equipment, the error is large and the detection speed is slow. For solving this problem, a fast measurement based on image processing method was proposed to improve efficiency. Extracting fiber contour by the edge detection algorithm, combining connectivity area fulfills and binarization, the fiber region is completely extracted from the image. And then, the pixel width which was calculated by the gray projection algorithm compared with manual measurement data to calculate the fiber width. Experiments show that this method not only reduces errors caused due to manual measurement, but also accelerates the speed of the fiber's detection. This method has good accuracy. |
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The width of the fiber is usually obtained through manual measurement that requires sophisticated equipment, the error is large and the detection speed is slow. For solving this problem, a fast measurement based on image processing method was proposed to improve efficiency. Extracting fiber contour by the edge detection algorithm, combining connectivity area fulfills and binarization, the fiber region is completely extracted from the image. And then, the pixel width which was calculated by the gray projection algorithm compared with manual measurement data to calculate the fiber width. Experiments show that this method not only reduces errors caused due to manual measurement, but also accelerates the speed of the fiber's detection. This method has good accuracy.</description><identifier>ISSN: 2306-8515</identifier><identifier>EISSN: 1726-5479</identifier><language>eng</language><publisher>Toronto: IFSA Publishing, S.L</publisher><subject>Algorithms ; Efficiency ; Error analysis ; Error detection ; Fibers ; Manuals ; Mathematical analysis ; Neighborhoods ; Projection ; Quality control ; Wood</subject><ispartof>Sensors & transducers, 2014-07, Vol.174 (7), p.235-235</ispartof><rights>Copyright IFSA Publishing, S.L. 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For solving this problem, a fast measurement based on image processing method was proposed to improve efficiency. Extracting fiber contour by the edge detection algorithm, combining connectivity area fulfills and binarization, the fiber region is completely extracted from the image. And then, the pixel width which was calculated by the gray projection algorithm compared with manual measurement data to calculate the fiber width. Experiments show that this method not only reduces errors caused due to manual measurement, but also accelerates the speed of the fiber's detection. This method has good accuracy.</description><subject>Algorithms</subject><subject>Efficiency</subject><subject>Error analysis</subject><subject>Error detection</subject><subject>Fibers</subject><subject>Manuals</subject><subject>Mathematical analysis</subject><subject>Neighborhoods</subject><subject>Projection</subject><subject>Quality control</subject><subject>Wood</subject><issn>2306-8515</issn><issn>1726-5479</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpdjk1Lw0AYhBdRMNT-hwUvXgL72X1z1NLWQkURpXgq-_EGU5ps3U1A_72h9uRlZhgehrkgBTdiVmplqktSCMlmJWiur8k05z1jjDNjKsEK8vFqj02gT2jzkLDFrqexptsYA102DhPdNqH_pA82Y6Cxo-uujqm1fTPmxXefrD9F2wW6SvaHvqS4x1N3Q65qe8g4PfuEvC8Xb_PHcvO8Ws_vN-WRS96XgjsrQBo_ftRghNO6rpkBFM5BpUb1rgrAACTjADV4BMeD5Iwp5T3KCbn72z2m-DVg7ndtkz0eDrbDOOQd1zPDpQYwI3r7D93HIXXju5HSkoNUSslfEshc0w</recordid><startdate>20140701</startdate><enddate>20140701</enddate><creator>Hong, Qi</creator><creator>Honge, Ren</creator><creator>Shaoqing, Tian</creator><general>IFSA Publishing, S.L</general><scope>3V.</scope><scope>4T-</scope><scope>4U-</scope><scope>7SP</scope><scope>7XB</scope><scope>88I</scope><scope>88K</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CLZPN</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>L7M</scope><scope>M0N</scope><scope>M2P</scope><scope>M2T</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0W</scope></search><sort><creationdate>20140701</creationdate><title>Rapid Measurement of Wood Fiber Width Based on Information Extraction and Gray Projection</title><author>Hong, Qi ; 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The width of the fiber is usually obtained through manual measurement that requires sophisticated equipment, the error is large and the detection speed is slow. For solving this problem, a fast measurement based on image processing method was proposed to improve efficiency. Extracting fiber contour by the edge detection algorithm, combining connectivity area fulfills and binarization, the fiber region is completely extracted from the image. And then, the pixel width which was calculated by the gray projection algorithm compared with manual measurement data to calculate the fiber width. Experiments show that this method not only reduces errors caused due to manual measurement, but also accelerates the speed of the fiber's detection. This method has good accuracy.</abstract><cop>Toronto</cop><pub>IFSA Publishing, S.L</pub><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Sensors & transducers, 2014-07, Vol.174 (7), p.235-235 |
| issn | 2306-8515 1726-5479 |
| language | eng |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Algorithms Efficiency Error analysis Error detection Fibers Manuals Mathematical analysis Neighborhoods Projection Quality control Wood |
| title | Rapid Measurement of Wood Fiber Width Based on Information Extraction and Gray Projection |
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