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2. 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.

3. Image editing - Wikipedia

   en.wikipedia.org/wiki/Image_editing

   Image editing encompasses the processes of altering images, whether they are digital photographs, traditional photo-chemical photographs, or illustrations. Traditional analog image editing is known as photo retouching, using tools such as an airbrush to modify photographs or edit illustrations with any traditional art medium.

4. Simple interactive object extraction - Wikipedia

   en.wikipedia.org/wiki/Simple_Interactive_Object...

   Simple interactive object extraction (SIOX) is an algorithm for extracting foreground objects from color images and videos with very little user interaction. [1] It has been implemented as "foreground selection" tool in the GIMP (since version 2.3.3), as part of the tracer tool in Inkscape (since 0.44pre3), and as function in ImageJ and Fiji (plug-in).

5. Add images to your signature in AOL Mail

   help.aol.com/articles/add-images-to-your...

   Choose Copy Image Address or Copy Image Location. Paste the new URL into the image URL field. Alternatively: Right-click on the image (use Control + click on a Mac). Choose Open Image in New Tab. Copy the image URL from the address bar at the top of your browser screen. Paste the new URL into the image URL field.

6. Foreground detection - Wikipedia

   en.wikipedia.org/wiki/Foreground_detection

   A motion detection algorithm begins with the segmentation part where foreground or moving objects are segmented from the background. The simplest way to implement this is to take an image as background and take the frames obtained at the time t, denoted by I(t) to compare with the background image denoted by B.

7. Digital image processing - Wikipedia

   en.wikipedia.org/wiki/Digital_image_processing

   These operations are particularly useful for tasks such as noise removal, shape smoothing, and object separation. Opening: This operation is performed by applying erosion to an image first, followed by dilation. The purpose of opening is to remove small objects or noise from the foreground while preserving the overall structure of larger objects.