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2. 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 ...

3. 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.

4. OpenCV - Wikipedia

   en.wikipedia.org/wiki/OpenCV

   The first alpha version of OpenCV was released to the public at the IEEE Conference on Computer Vision and Pattern Recognition in 2000, and five betas were released between 2001 and 2005. The first 1.0 version was released in 2006. A version 1.1 "pre-release" was released in October 2008. The second major release of the OpenCV was in October 2009.

5. Otsu's method - Wikipedia

   en.wikipedia.org/wiki/Otsu's_method

   hists is a 2D-histogram of grayscale value and neighborhood average grayscale value pair. total is the number of pairs in the given image.it is determined by the number of the bins of 2D-histogram at each direction. threshold is the threshold obtained.

6. Channel (digital image) - Wikipedia

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

   In the digital realm, there can be any number of conventional primary colors making up an image; a channel in this case is extended to be the grayscale image based on any such conventional primary color. By extension, a channel is any grayscale image of the same dimension as and associated with the original image [citation needed].

7. Top-hat transform - Wikipedia

   en.wikipedia.org/wiki/Top-hat_transform

   In mathematical morphology and digital image processing, a top-hat transform is an operation that extracts small elements and details from given images.There exist two types of top-hat transform: the white top-hat transform is defined as the difference between the input image and its opening by some structuring element, while the black top-hat transform is defined dually as the difference ...

8. Download, install, or uninstall AOL Desktop Gold - AOL Help

   help.aol.com/articles/aol-desktop-downloading...

   Learn how to download and install or uninstall the Desktop Gold software and if your computer meets the system requirements.

9. Difference of Gaussians - Wikipedia

   en.wikipedia.org/wiki/Difference_of_Gaussians

   In the simple case of grayscale images, the blurred images are obtained by convolving the original grayscale images with Gaussian kernels having differing width (standard deviations). Blurring an image using a Gaussian kernel suppresses only high-frequency spatial information. Subtracting one image from the other preserves spatial information ...