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2. Foreground detection - Wikipedia

   en.wikipedia.org/wiki/Foreground_detection

   Foreground detection is one of the major tasks in the field of computer vision and image processing whose aim is to detect changes in image sequences. Background subtraction is any technique which allows an image's foreground to be extracted for further processing (object recognition etc.). Many applications do not need to know everything about ...

3. 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 ...

4. Image editing - Wikipedia

   en.wikipedia.org/wiki/Image_editing

   Basics of image editing. Raster images are stored in a computer in the form of a grid of picture elements, or pixels. These pixels contain the image's color and brightness information. Image editors can change the pixels to enhance the image in many ways. The pixels can be changed as a group, or individually, by the sophisticated algorithms ...

5. Perspective distortion - Wikipedia

   en.wikipedia.org/wiki/Perspective_distortion

   Perspective distortion. Simulation showing how adjusting the angle of view of a camera, while varying the camera's distance and keeping the object in frame, results in vastly differing images. At narrow angles and long distances, light rays are nearly parallel, resulting in a "flattened" image. At wide angles and short distances, objects appear ...

6. 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.

7. Thresholding (image processing) - Wikipedia

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

   Entropy-based methods result in algorithms that use the entropy of the foreground and background regions, the cross-entropy between the original and binarized image, etc., [6] Object Attribute-based methods search a measure of similarity between the gray-level and the binarized images, such as fuzzy shape similarity, edge coincidence, etc.,