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  2. File:Chilbolton crop circle.svg - Wikipedia

    en.wikipedia.org/.../File:Chilbolton_crop_circle.svg

    English: The Arecibo reply was the name given to a crop circle that appeared in farmland next to the Chilbolton radio telescope; home to the Search for Extraterrestrial Intelligence Institute (SETI) in Hampshire, UK, on 19 August 2001. It was 75 feet wide and 120 feet long.

  3. Cropping (image) - Wikipedia

    en.wikipedia.org/wiki/Cropping_(image)

    Cropping is the removal of unwanted outer areas from a photographic or illustrated image. The process usually consists of the removal of some of the peripheral areas of an image to remove extraneous visual data from the picture, improve its framing, change the aspect ratio, or accentuate or isolate the subject matter from its background.

  4. Arecibo message - Wikipedia

    en.wikipedia.org/wiki/Arecibo_message

    The "Hampshire pattern" or "Chilbolton Code formation" or "Arecibo answer" was a crop circle that appeared in 2001 near the Chilbolton radio telescope in Hampshire, UK, which echoed the visual representation and most of the information from the original Arecibo message with some significant differences including location/origin, DNA ...

  5. Update your AOL profile image

    help.aol.com/articles/update-AOL-profile-image

    1. Sign in to your AOL account. 2. Click your profile name. 3. Click Personal Info. 4. Click Update profile photo. 5. Select Upload from device. 6. Edit the photo by cropping or rotating it, or by adding a filter.

  6. Center-pivot irrigation - Wikipedia

    en.wikipedia.org/wiki/Center-pivot_irrigation

    A satellite image of circular fields characteristic of center pivot irrigation, Kansas Farmland with circular pivot irrigation. Center-pivot irrigation (sometimes called central pivot irrigation), also called water-wheel and circle irrigation, is a method of crop irrigation in which equipment rotates around a pivot and crops are watered with sprinklers.

  7. Hough transform - Wikipedia

    en.wikipedia.org/wiki/Hough_transform

    Crop the image to areas of interest. This is image dependent, and therefore unpredictable, but imagine a case where all of the edges of interest in an image are in the upper left quadrant of that image. The accumulator array can be reduced even further in this case by constraining all 4 parameters by a factor of 2, for a total reduction factor ...

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