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2. Photomask - Wikipedia

   en.wikipedia.org/wiki/Photomask

   In photolithography, several masks are used in turn, each one reproducing a layer of the completed design, and together known as a mask set. A curvilinear photomask has patterns with curves, which is a departure from conventional photomasks which only have patterns that are completely vertical or horizontal, known as manhattan geometry.

3. Visual masking - Wikipedia

   en.wikipedia.org/wiki/Visual_masking

   Visual masking involves surrounding a target image (here, the word "radio") with another image. Visual masking is a phenomenon of visual perception. It occurs when the visibility of one image, called a target, is reduced by the presence of another image, called a mask. [1] The target might be invisible or appear to have reduced contrast or ...

4. Opening (morphology) - Wikipedia

   en.wikipedia.org/wiki/Opening_(morphology)

   Opening removes small objects from the foreground (usually taken as the bright pixels) of an image, placing them in the background, while closing removes small holes in the foreground, changing small islands of background into foreground. These techniques can also be used to find specific shapes in an image.

5. Matte (filmmaking) - Wikipedia

   en.wikipedia.org/wiki/Matte_(filmmaking)

   One would mask everything above the store's roof, and the other would mask everything below it. By using these masks/mattes when copying these images onto the third, the images can be combined without creating ghostly double-exposures. In film, this is an example of a static matte, where the shape of the mask does not change from frame to frame ...

6. Kernel (image processing) - Wikipedia

   en.wikipedia.org/wiki/Kernel_(image_processing)

   In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more. This is accomplished by doing a convolution between the kernel and an image .

7. Image segmentation - Wikipedia

   en.wikipedia.org/wiki/Image_segmentation

   The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. [1] [2] Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in ...