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  2. Kernel (image processing) - Wikipedia

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

    For example, attempting to read a pixel 3 units outside an edge reads one 3 units inside the edge instead. Crop / Avoid overlap Any pixel in the output image which would require values from beyond the edge is skipped. This method can result in the output image being slightly smaller, with the edges having been cropped.

  3. Comparison gallery of image scaling algorithms - Wikipedia

    en.wikipedia.org/wiki/Comparison_gallery_of...

    The resulting image is larger than the original, and preserves all the original detail, but has (possibly undesirable) jaggedness. The diagonal lines of the "W", for example, now show the "stairway" shape characteristic of nearest-neighbor interpolation. Other scaling methods below are better at preserving smooth contours in the image.

  4. Edge detection - Wikipedia

    en.wikipedia.org/wiki/Edge_detection

    Feature enhancement in an image (St Paul's Cathedral, London) using Phase Stretch Transform (PST). Left panel shows the original image and the right panel shows the detected features using PST. The phase stretch transform or PST is a physics-inspired computational approach to signal and image processing. One of its utilities is for feature ...

  5. Pooling layer - Wikipedia

    en.wikipedia.org/wiki/Pooling_layer

    The circular padding is where the pixel outside wraps around to the other side of the image. If H {\displaystyle H} is not expressible as k s + f {\displaystyle ks+f} where k {\displaystyle k} is an integer, then for computing the entries of the output tensor on the boundaries, max pooling would attempt to take as inputs variables off the tensor.

  6. Image moment - Wikipedia

    en.wikipedia.org/wiki/Image_moment

    In image processing, computer vision and related fields, an image moment is a certain particular weighted average of the image pixels' intensities, or a function of such moments, usually chosen to have some attractive property or interpretation. Image moments are useful to describe objects after segmentation.

  7. My Husband's Grandpa Cracked the Code to the Best-Ever ... - AOL

    www.aol.com/husbands-grandpa-cracked-code-best...

    Julie Thurston Photography/Getty Images. A traditional snickerdoodle recipe includes unsalted butter, granulated sugar, eggs, all-purpose flour, cream of tartar, baking soda and salt. The ...

  8. Image registration - Wikipedia

    en.wikipedia.org/wiki/Image_registration

    Image registration or image alignment algorithms can be classified into intensity-based and feature-based. [3] One of the images is referred to as the moving or source and the others are referred to as the target, fixed or sensed images. Image registration involves spatially transforming the source/moving image(s) to align with the target image.

  9. 'Why God made confirmation hearings': Republicans call for ...

    www.aol.com/why-god-made-confirmation-hearings...

    “He’ll be vetted on all that,” Alabama Sen. Tommy Tuberville, one of Hegseth’s defenders in the Senate, said on Monday. “As I told him, I said, ‘You’re going to have to have all your ...