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  2. File:Intensity SHG, phase-matched or not.png - Wikipedia

    en.wikipedia.org/wiki/File:Intensity_SHG,_phase...

    Intensity_SHG,_phase-matched_or_not.png (753 × 400 pixels, file size: 29 KB, MIME type: image/png) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

  3. Grayscale - Wikipedia

    en.wikipedia.org/wiki/Grayscale

    The contrast ranges from black at the weakest intensity to white at the strongest. [1] Grayscale images are distinct from one-bit bi-tonal black-and-white images, which, in the context of computer imaging, are images with only two colors: black and white (also called bilevel or binary images). Grayscale images have many shades of gray in between.

  4. Image gradient - Wikipedia

    en.wikipedia.org/wiki/Image_gradient

    Gray pixels have a small gradient; black or white pixels have a large gradient. In computer vision, image gradients can be used to extract information from images. Gradient images are created from the original image (generally by convolving with a filter, one of the simplest being the Sobel filter) for this purpose. Each pixel of a gradient ...

  5. Normalization (image processing) - Wikipedia

    en.wikipedia.org/wiki/Normalization_(image...

    max is the maximum value for color level in the input image within the selected kernel. min is the minimum value for color level in the input image within the selected kernel. [4] Local contrast stretching considers each range of color palate in the image (R, G, and B) separately, providing a set of minimum and maximum values for each color palate.

  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. Halftone - Wikipedia

    en.wikipedia.org/wiki/Halftone

    However, digital image processing has also enabled more sophisticated dithering algorithms to decide which pixels to turn black or white, some of which yield better results than digital halftoning. Digital halftoning based on some modern image processing tools such as nonlinear diffusion and stochastic flipping has also been proposed recently.

  8. File:FLIC intensity plot.png - Wikipedia

    en.wikipedia.org/wiki/File:FLIC_intensity_plot.png

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  9. Thresholding (image processing) - Wikipedia

    en.wikipedia.org/wiki/Thresholding_(image...

    The simplest thresholding methods replace each pixel in an image with a black pixel if the image intensity , is less than a fixed value called the threshold , or a white pixel if the pixel intensity is greater than that threshold. In the example image on the right, this results in the dark tree becoming completely black, and the bright snow ...

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