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A Mathematical Morphology-Based Filter for Noise Reduction and Detail Preservation in Low-Dose Dental CT Images.
Stringhini, Rômulo Marconato; Welfer, Daniel; d'Ornellas, Marcos Cordeiro; Gamarra, Daniel Fernando Tello.
Afiliação
  • Stringhini RM; Department of Applied Computing (DCOM), Federal University of Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.
  • Welfer D; Department of Applied Computing (DCOM), Federal University of Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.
  • d'Ornellas MC; Department of Applied Computing (DCOM), Federal University of Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.
  • Gamarra DFT; Department of Electrical Energy Processing (DPEE), Federal University of Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.
Stud Health Technol Inform ; 264: 253-257, 2019 Aug 21.
Article em En | MEDLINE | ID: mdl-31437924
During the acquisition on a low-dose radiation computed tomography (CT) scan, images are usually marked by heavy noise and undesired artifacts, which dramatically reduce its applicability in the image processing workflow. A noise reduction and detail preservation filter based on mathematical morphology is presented in this paper. The filter is geared to allow control of an opening operator followed by a systematic contrast limited adaptive histogram equalization (CLAHE) in conjunction with a reconstruction by dilation in last stage. A quantitative metric built on peak signal-to-noise ratio (PSNR), structural similarity (SSIM), and mean-squared error (MSE) were applied to check noise reduction, detail preservation, and performance. The results obtained by the proposed filter were compared with those obtained in the literature, showing very good results: compared with the best-tested filter, the filter had a gain of 7.91% on PSNR, 7.57% on SSIM and 37.8% on MSE.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Tomografia Computadorizada por Raios X Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Tomografia Computadorizada por Raios X Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda