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  2. PGF/TikZ - Wikipedia

    en.wikipedia.org/wiki/PGF/TikZ

    PGF/TikZ is a pair of languages for producing vector graphics (e.g., technical illustrations and drawings) from a geometric/algebraic description, with standard features including the drawing of points, lines, arrows, paths, circles, ellipses and polygons.

  3. Turtle graphics - Wikipedia

    en.wikipedia.org/wiki/Turtle_graphics

    Turtle graphics are often associated with the Logo programming language. [2] Seymour Papert added support for turtle graphics to Logo in the late 1960s to support his version of the turtle robot, a simple robot controlled from the user's workstation that is designed to carry out the drawing functions assigned to it using a small retractable pen set into or attached to the robot's body.

  4. LibreLogo - Wikipedia

    en.wikipedia.org/wiki/LibreLogo

    LibreLogo is an integrated development environment (IDE) for computer programming in the programming language Python, which works like the language Logo using interactive vector turtle graphics. Its final output is a vector graphics rendition within the LibreOffice suite. It can be used for education and desktop publishing.

  5. Logo (programming language) - Wikipedia

    en.wikipedia.org/wiki/Logo_(programming_language)

    Logo's most-known feature is the turtle (derived originally from a robot of the same name), [5] an on-screen "cursor" that shows output from commands for movement and small retractable pen, together producing line graphics. It has traditionally been displayed either as a triangle or a turtle icon (though it can be represented by any icon).

  6. Image sensor - Wikipedia

    en.wikipedia.org/wiki/Image_sensor

    A micrograph of the corner of the photosensor array of a webcam digital camera Image sensor (upper left) on the motherboard of a Nikon Coolpix L2 6 MP. The two main types of digital image sensors are the charge-coupled device (CCD) and the active-pixel sensor (CMOS sensor), fabricated in complementary MOS (CMOS) or N-type MOS (NMOS or Live MOS) technologies.

  7. Feature (computer vision) - Wikipedia

    en.wikipedia.org/wiki/Feature_(computer_vision)

    Features may be specific structures in the image such as points, edges or objects. Features may also be the result of a general neighborhood operation or feature detection applied to the image. Other examples of features are related to motion in image sequences, or to shapes defined in terms of curves or boundaries between different image regions.

  8. Image noise - Wikipedia

    en.wikipedia.org/wiki/Image_noise

    It determines the amount of gain applied to the voltage output from the image sensor and has a direct effect on read noise. All signal processing units within a digital camera system have a noise floor. The difference between the signal level and the noise floor is called the signal-to-noise ratio. A higher signal-to-noise ratio equates to a ...

  9. Foreground detection - Wikipedia

    en.wikipedia.org/wiki/Foreground_detection

    All detection techniques are based on modelling the background of the image, i.e. set the background and detect which changes occur. Defining the background can be very difficult when it contains shapes, shadows, and moving objects. In defining the background, it is assumed that the stationary objects could vary in color and intensity over time.