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Feathering is not only used on paintbrushes in computer graphics software. Feathering may also blend the edges of a selected feature into the background of the image. When composing an image from pieces of other images, feathering helps make added features look "in place" with the background image.
A clipping path (or "deep etch" [1]) is a closed vector path, or shape, used to cut out a 2D image in image editing software. Anything inside the path will be included after the clipping path is applied; anything outside the path will be omitted from the output.
The background image is used as the bottom layer, and the image with parts to be added are placed in a layer above that. Using an image layer mask , all but the parts to be merged is hidden from the layer, giving the impression that these parts have been added to the background layer.
The bevel provides a smooth clean edge to the plate or pipe and allows a weld of the correct shape (to prevent center-line cracking) to join the separate pieces of metal. [citation needed] Simple bevels can be used with a backup strip (thin removable sheet behind the plate joint) with chamfers (and a small land) being used on open root welds.
Lines and surfaces outside the view volume (aka. frustum) are removed. [1] Clip regions are commonly specified to improve render performance. A well-chosen clip [clarification needed] allows the renderer to save time and energy by skipping calculations related to pixels that the user cannot see. Pixels that will be drawn are said to be within ...
Finally, a Sobel filter or similar edge-detection filter is applied to the normal and depth textures to generate an edge texture. Texels on detected edges are black, while all other texels are white. Finally, the edge texture and the color texture are composited to produce the final rendered image.
Edge-preserving filters are designed to automatically limit the smoothing at “edges” in images measured, e.g., by high gradient magnitudes. For example, the motivation for anisotropic diffusion (also called nonuniform or variable conductance diffusion) is that a Gaussian smoothed image is a single time slice of the solution to the heat ...
Most edge-detection algorithms are sensitive to noise; the 2-D Laplacian filter, built from a discretization of the Laplace operator, is highly sensitive to noisy environments. Using a Gaussian Blur filter before edge detection aims to reduce the level of noise in the image, which improves the result of the following edge-detection algorithm.