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The bases of vector graphics are simple lines and shapes. Click the Autoshapes button and you will be presented with a number of possible shapes. Try a few of them out. File:Example Shape.png Notice the white little boxes at the "corners" of the shape, these are called handles and allow you to resize the shape bigger or smaller. Some shapes ...
up-one-lvl-kbd [4] – The "U" keyboard shortcut now navigates up one subpage level. hover-edit-section [5] – The "D" keyboard shortcut now edits the section you're hovering over. page-info-kbd-shortcut [6] – The "I" keyboard shortcut now opens the "Page information" link in your sidebar.
What links here; Related changes; Upload file; Special pages; Permanent link; Page information; Get shortened URL; Download QR code
The following other wikis use this file: Usage on af.wikipedia.org Diagram; Usage on bn.wikipedia.org রেখাচিত্র; Usage on da.wikipedia.org
Firefox 3.0 menu with shortcuts, highlighted with green and mnemonics highlighted with yellow. Composite of two Macintosh Finder menus with keyboard shortcuts specified in the right column. In computing, a keyboard shortcut (also hotkey/hot key or key binding) [1] is a software-based
Histogram equalization is a popular example of these algorithms. Improvements in picture brightness and contrast can thus be obtained. In the field of computer vision, image histograms can be useful tools for thresholding. Because the information contained in the graph is a representation of pixel distribution as a function of tonal variation ...
Float the image on the right unless overridden with the location attribute. With an operand, e.g. thumb=Example.png, the operand names an image that is used as the thumbnail, ignoring any size specification. frame Preserve the original image size, and put a box around the image. Show any caption below the image.
A histogram of an image is produced first by discretization of the colors in the image into a number of bins, and counting the number of image pixels in each bin. For example, a Red–Blue chromaticity histogram can be formed by first normalizing color pixel values by dividing RGB values by R+G+B, then quantizing the normalized R and B ...