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  2. Channel (digital image) - Wikipedia

    en.wikipedia.org/wiki/Channel_(digital_image)

    A channel in this context is the grayscale image of the same size as a color image, [citation needed] made of just one of these primary colors. For instance, an image from a standard digital camera will have a red, green and blue channel. A grayscale image has just one channel.

  3. Color moments - Wikipedia

    en.wikipedia.org/wiki/Color_moments

    Computing the features - Use the color moments formulae in order to compute the first three moments for each of the color channels in the image. For example, if the HSV color space is used, this means that for each of the images, 9 features in total will be computed (the first three order moments for the Hue, Saturation, and Value channels).

  4. Grayscale - Wikipedia

    en.wikipedia.org/wiki/Grayscale

    Here is an example of color channel splitting of a full RGB color image. The column at left shows the isolated color channels in natural colors, while at right there are their grayscale equivalences: Composition of RGB from three grayscale images. The reverse is also possible: to build a full-color image from their separate grayscale channels.

  5. Circular thresholding - Wikipedia

    en.wikipedia.org/wiki/Circular_thresholding

    Circular thresholding is an algorithm for automatic image threshold selection in image processing. Most threshold selection algorithms assume that the values (e.g. intensities) lie on a linear scale. However, some quantities such as hue and orientation are a circular quantity

  6. Color histogram - Wikipedia

    en.wikipedia.org/wiki/Color_histogram

    In image processing and photography, a color histogram is a representation of the distribution of colors in an image.For digital images, a color histogram represents the number of pixels that have colors in each of a fixed list of color ranges, that span the image's color space, the set of all possible colors.

  7. 8-bit color - Wikipedia

    en.wikipedia.org/wiki/8-bit_color

    8-bit color, with three bits of red, three bits of green, and two bits of blue. In order to turn a true color 24-bit image into an 8-bit image, the image must go through a process called color quantization. Color quantization is the process of creating a color map for a less color dense image from a more dense image. [2]

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    mail.aol.com/?icid=aol.com-nav

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  9. Color space - Wikipedia

    en.wikipedia.org/wiki/Color_space

    The most common incarnation in general use as of 2021 is the 24-bit implementation, with 8 bits, or 256 discrete levels of color per channel. [7] Any color space based on such a 24-bit RGB model is thus limited to a range of 256×256×256 ≈ 16.7 million colors.