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  2. Grayscale - Wikipedia

    en.wikipedia.org/wiki/Grayscale

    To convert a color from a colorspace based on a typical gamma-compressed (nonlinear) RGB color model to a grayscale representation of its luminance, the gamma compression function must first be removed via gamma expansion (linearization) to transform the image to a linear RGB colorspace, so that the appropriate weighted sum can be applied to ...

  3. Channel (digital image) - Wikipedia

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

    Color digital images are made of pixels, and pixels are made of combinations of primary colors represented by a series of code. 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.

  4. Harris corner detector - Wikipedia

    en.wikipedia.org/wiki/Harris_corner_detector

    If we use Harris corner detector in a color image, the first step is to convert it into a grayscale image, which will enhance the processing speed. The value of the gray scale pixel can be computed as a weighted sums of the values R, B and G of the color image, {,,}, where, e.g.,

  5. A foolproof guide to image manipulation in Python with OpenCV

    www.aol.com/foolproof-guide-image-manipulation...

    OpenCV is a huge image and video processing library designed to work with many languages such as python, C/C++, Java, and more. It is the foundation for many of the applications you know that deal ...

  6. Quantization (image processing) - Wikipedia

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

    Grayscale quantization, also known as gray level quantization, is a process in digital image processing that involves reducing the number of unique intensity levels (shades of gray) in an image while preserving its essential visual information.

  7. Integral channel feature - Wikipedia

    en.wikipedia.org/wiki/Integral_channel_feature

    Color and grayscale: As discussed above, we can easily extract color and grayscale channels from an image. Note that color channels could be RGB, LUV or HSV. LUV color channels have shown to be most informative among all color spaces. Linear filters: This is a simple method for generating channels.

  8. 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.

  9. College Football Playoff schedule: Bowl game times, dates and ...

    www.aol.com/college-football-playoff-schedule...

    The College Football Playoff Selection Committee is on the verge of releasing its second of the six top-25 rankings Tuesday night. This highly anticipated second rankings will provide crucial ...