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The first image processing step in our system provides the desired edge detection results.
The contribution of the paper is to propose a procedure to smooth the noisy or denoised image with any kind of denoising algorithm for desired edge preservation.
At the final stage, Edge Preserved Inhomogeneous Diffusion Equation (EPIDE) method is used to smooth the original noisy image or the previously denoised image at the first stage and achieve preserving desired edge.
At the final stage, a new method Edge Preserved Inhomogeneous Diffusion Equation is used to smooth the original noisy image or the previously denoised image at the first stage and achieve preserving desired edge.
Rapid progress in graphene engineering has called for a simple and effective method to determine the lattice orientation on graphene before tailoring graphene to the desired edge structures and shapes.
If the label of edge v i v n < 3 then add one unit, otherwise, add one unit to next desired edge, i.e. that if the label of edge v i vn−1 < 3 then add one unit, otherwise, add one unit to next edge.
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At the third stage, manually modify the edges of edge map to match the desired edges.
At the third stage, modified edge map (I) captures all the desired edges manually.
At the third stage, users can manually modify the edges of edge map to match the desired edges.
Manual modification of an edge map at the third stage is optional to capture all the desired edges of the object contours.
The paper propose a new procedure including four stages in order to preserve the desired edges during the image processing of noise reduction.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com