An approach in texture segmentation using multivalued neural network
Texture segmentation is a very difficult process in image processing and using conventional methods doesn't result in proper segmentation. In this paper we presented a novel approach in texture analysis by using neural networks. We used a special type of neuron-a multivalued neuron. The inputs...
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creator | Stoiljkovic, L.V. Stojanovic, N.D. Milenovic, D.R. |
description | Texture segmentation is a very difficult process in image processing and using conventional methods doesn't result in proper segmentation. In this paper we presented a novel approach in texture analysis by using neural networks. We used a special type of neuron-a multivalued neuron. The inputs in the network are spectral coefficients (DFT) with maximal values. The achieved results, applied in the processing of microscopic images of mechanical materials, indicate that this is a right way to improve segmentation of very complex digital images. |
doi_str_mv | 10.1109/MELCON.1998.692295 |
format | Conference Proceeding |
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The achieved results, applied in the processing of microscopic images of mechanical materials, indicate that this is a right way to improve segmentation of very complex digital images.</description><subject>Artificial neural networks</subject><subject>Discrete Fourier transforms</subject><subject>Feature extraction</subject><subject>Filters</subject><subject>Image analysis</subject><subject>Image segmentation</subject><subject>Image texture analysis</subject><subject>Intelligent networks</subject><subject>Neural networks</subject><subject>Pixel</subject><isbn>9780780338791</isbn><isbn>0780338790</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1998</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tKxDAYRgMiKGNfYFZ5gdYkf2Oa5VDHC1Rno-shTf6O0TZT0tTL21uYOXxwdh8cQtacFZwzffuyberda8G1roo7LYSWFyTTqmLLACql-RXJpumTLZRScoBrcr8J1IxjPBr7QX2gCX_THJFOeBgwJJP8MdB58uFAh7lP_tv0MzoacI6mX5R-jvHrhlx2pp8wO3tF3h-2b_VT3uwen-tNk3vOypRLhUaBrFpwTiNaZyWCdqVgXHPRMSirVgkjNHJukTvsFIAE2wooJbMaVmR9-vWIuB-jH0z8259S4R-WXErQ</recordid><startdate>1998</startdate><enddate>1998</enddate><creator>Stoiljkovic, L.V.</creator><creator>Stojanovic, N.D.</creator><creator>Milenovic, D.R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1998</creationdate><title>An approach in texture segmentation using multivalued neural network</title><author>Stoiljkovic, L.V. ; Stojanovic, N.D. ; Milenovic, D.R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-57ea7358b3dd9eecdc5e39d4201912f0348b72a29e11ce1def73353cb23450c93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Artificial neural networks</topic><topic>Discrete Fourier transforms</topic><topic>Feature extraction</topic><topic>Filters</topic><topic>Image analysis</topic><topic>Image segmentation</topic><topic>Image texture analysis</topic><topic>Intelligent networks</topic><topic>Neural networks</topic><topic>Pixel</topic><toplevel>online_resources</toplevel><creatorcontrib>Stoiljkovic, L.V.</creatorcontrib><creatorcontrib>Stojanovic, N.D.</creatorcontrib><creatorcontrib>Milenovic, D.R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Stoiljkovic, L.V.</au><au>Stojanovic, N.D.</au><au>Milenovic, D.R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An approach in texture segmentation using multivalued neural network</atitle><btitle>MELECON '98. 9th Mediterranean Electrotechnical Conference. Proceedings (Cat. No.98CH36056)</btitle><stitle>MELCON</stitle><date>1998</date><risdate>1998</risdate><volume>1</volume><spage>63</spage><epage>67 vol.1</epage><pages>63-67 vol.1</pages><isbn>9780780338791</isbn><isbn>0780338790</isbn><abstract>Texture segmentation is a very difficult process in image processing and using conventional methods doesn't result in proper segmentation. In this paper we presented a novel approach in texture analysis by using neural networks. We used a special type of neuron-a multivalued neuron. The inputs in the network are spectral coefficients (DFT) with maximal values. The achieved results, applied in the processing of microscopic images of mechanical materials, indicate that this is a right way to improve segmentation of very complex digital images.</abstract><pub>IEEE</pub><doi>10.1109/MELCON.1998.692295</doi></addata></record> |
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subjects | Artificial neural networks Discrete Fourier transforms Feature extraction Filters Image analysis Image segmentation Image texture analysis Intelligent networks Neural networks Pixel |
title | An approach in texture segmentation using multivalued neural network |
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