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<records>

  <record>
    <language>eng</language>
          <publisher>Oriental Scientific Publishing Company</publisher>
        <journalTitle>Biomedical and Pharmacology Journal</journalTitle>
          <issn>0974-6242</issn>
            <publicationDate>2022-12-20</publicationDate>
    
        <volume>15</volume>
        <issue>4</issue>

 
    <startPage>2203</startPage>
    <endPage>2208</endPage>

	 
      <doi>10.13005/bpj/2557</doi>
        <publisherRecordId>46511</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Preprocessing of Skin Cancer Images using Non-Local Means (Nlm) Filter</title>

    <authors>
	 


      <author>
       <name>Reshma M</name>

 
		
	<affiliationId>1</affiliationId>
      </author>
    

	 


      <author>
       <name>Ataulla S. H</name>


		
	<affiliationId>2</affiliationId>

      </author>
    

	

	


	


	
    </authors>
    
	    <affiliationsList>
	    
		
		<affiliationName affiliationId="1">Department of ECE, UBDTCE,Davangre, India</affiliationName>
    

		
		<affiliationName affiliationId="2">Automation Anywhere, Bangalore, India</affiliationName>
    
		
		
		
		
	  </affiliationsList>






    <abstract language="eng">The most consecutive malignant growth in the body is skin disease. Every time, more than individualities on the world are determined to have skin malicious growth. The operation of this malice is greatly impressed by early discovery. A new optimum and automatic channel strategy for diagnosing this complaint using dermoscopy images is proposed in this paper. Before processing, the approach comprises a noise reduction process to exclude the disturbances. The BRISQUE score is a quality index that's used to assess different denoising techniques. Filters like anisotropic diffusion and a bilateral are employed for subjective judgment.</abstract>

    <fullTextUrl format="html">https://biomedpharmajournal.org/vol15no4/preprocessing-of-skin-cancer-images-using-non-local-means-nlm-filter/</fullTextUrl>

<keywords language="eng">

      
        <keyword>Anisotropic Diffusion Filter</keyword>
      

      
        <keyword> Bilateral Filter</keyword>
      

      
        <keyword> Blind/‘Referenceless’ Image Spatial Quality Evaluator</keyword>
      

      
        <keyword> Degree of smoothing</keyword>
      

      
        <keyword> Non Local Means</keyword>
      
</keywords>
  </record>
</records>