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  2. 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).

  3. 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.).

  4. Clone tool - Wikipedia

    en.wikipedia.org/wiki/Clone_tool

    The clone tool can remove objects by copying a nearby background. The user selects a matching location as the source, then paints over the element to be hidden. [1] A typical use for the tool is in object removal – more colloquially, "airbrushing" or "photoshopping" out an unwanted part of the image.

  5. Foreground and background - Wikipedia

    en.wikipedia.org/wiki/Foreground_and_background

    Foreground and background or background and foreground may refer to: Background, foreground, sideground and postground intellectual property, distinct forms of intellectual property assets; Background subtraction, a technique in image processing and computer vision by which an image's foreground is extracted for further processing

  6. 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.,

  7. Otsu's method - Wikipedia

    en.wikipedia.org/wiki/Otsu's_method

    An example image thresholded using Otsu's algorithm Original image. In computer vision and image processing, Otsu's method, named after Nobuyuki Otsu (大津展之, Ōtsu Nobuyuki), is used to perform automatic image thresholding. [1]

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