In this study, a method based on structural segmentation and filtering through morphological operators along with a BM3D filtering is proposed to reduce noise ...
Low-Dose CT Dental Image Denoising by. Morphological Operators and 3D Filtering. Romulo Marconato Stringhini, Daniel Welfer and Marcos Cordeiro d'Ornellas.
A 3D filtering algorithm for CT images is proposed (HeNLM-3D). It is an extension of the known Local Jets method (LJNLM-LR) and our previous 2D algorithm (HeNLM) ...
In this study, a method based on structural segmentation and filtering through morphological operators along with a BM3D filtering is proposed to reduce noise ...
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Low-Dose CT Dental Image Denoising by Morphological Operators and 3D Filtering. R. Stringhini, D. Welfer, M. d'Ornellas, and D. Gamarra.
In this study, a two-stage filter based on morphological operators and Block-Matching 3D (BM3D) is proposed to remove noise in low-dose dental CT images. The ...
The block-matching 3D (BM3D) algorithm [19] was introduced to improve the quality of low-dose CT images. Inspired by compressed sensing theory, Chen et al.
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A constructive non-local means algorithm for low-dose computed ...
www.ncbi.nlm.nih.gov › PMC10529561
Sep 27, 2023 · We propose an innovative constructive non-local image filtering algorithm by means of applications in low-dose computed tomography technology.
Missing: Dental | Show results with:Dental
Abstract. During the acquisition on a low-dose radiation computed tomography (CT) scan, images are usually marked by heavy noise and undesired artifacts, ...