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<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Journal of Mathematical Modeling</JournalTitle>
				<Issn>2345-394X</Issn>
				<Volume>9</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2021</Year>
					<Month>09</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A computational model for texture analysis in images with a reaction-diffusion based filter</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>485</FirstPage>
			<LastPage>500</LastPage>
			<ELocationID EIdType="pii">4611</ELocationID>
			
<ELocationID EIdType="doi">10.22124/jmm.2021.18289.1569</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Hamid</FirstName>
					<LastName>Lefraich</LastName>
<Affiliation>Laboratory (MISI), Faculty of Science and Technology, University Hassan first, Settat 26000, Morocco</Affiliation>

</Author>
<Author>
					<FirstName>Houda</FirstName>
					<LastName>Fahim</LastName>
<Affiliation>Laboratory LAMAI, Faculty of Science and Technology, Cadi Ayyad University, Morocco</Affiliation>

</Author>
<Author>
					<FirstName>Mariam</FirstName>
					<LastName>Zirhem</LastName>
<Affiliation>Laboratory LAMAI, Faculty of Science and Technology, Cadi Ayyad University, Morocco</Affiliation>

</Author>
<Author>
					<FirstName>Nour Eddine</FirstName>
					<LastName>Alaa</LastName>
<Affiliation>Laboratory LAMAI, Faculty of Science and Technology, Cadi Ayyad University, Morocco</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>11</Month>
					<Day>28</Day>
				</PubDate>
			</History>
		<Abstract>As one of the most important tasks in image processing, texture analysis is related to a class of mathematical models that characterize the spatial variations of an image. In this paper, in order to extract features of interest, we propose a reaction diffusion based model which uses the variational approach. In the first place, we describe the mathematical model, then, aiming to simulate the latter accurately, we suggest an efficient numerical scheme. Thereafter, we compare our method to literature findings. Finally, we conclude our analysis by a number of experimental results showing the robustness and the performance of our algorithm.&lt;br /&gt;&lt;br /&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Reaction-diffusion system</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">biomedical images</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">texture analysis</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jmm.guilan.ac.ir/article_4611_61d3f592963b388acd8a5af68fabf8f8.pdf</ArchiveCopySource>
</Article>
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