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  2. CUT&Tag sequencing - Wikipedia

    en.wikipedia.org/wiki/CUT&Tag_sequencing

    CUT&Run-Sequencing or CUT&Tag-Sequencing provide low levels of background signal because of in situ profiling which retains in vivo 3D confirmations of transcription factor-DNA interactions, so antibodies access only exposed surfaces. Sensitivity of sequencing depends on the depth of the sequencing run (i.e. the number of mapped sequence tags ...

  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. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    When selecting a raster image that is not rectangular, it requires separating the edges from the background, also known as silhouetting. This is the digital-analog of cutting out the image from a physical picture. Clipping paths may be used to add silhouetted images to vector graphics or page layout files that retain vector data.

  5. GrabCut - Wikipedia

    en.wikipedia.org/wiki/Grabcut

    GrabCut is an image segmentation method based on graph cuts.. Starting with a user-specified bounding box around the object to be segmented, the algorithm estimates the color distribution of the target object and that of the background using a Gaussian mixture model.

  6. Cutout animation - Wikipedia

    en.wikipedia.org/wiki/Cutout_animation

    The Adventures of Prince Achmed (1926) by Lotte Reiniger is a silhouette animation using armatured cutouts with backgrounds that were variously painted or composed of blown sand and even soap. No. 12, also known as Heaven and Earth Magic by Harry Everett Smith, completed in 1962, utilizes cut-out illustrations culled from 19th century catalogs.

  7. Graph cuts in computer vision - Wikipedia

    en.wikipedia.org/wiki/Graph_cuts_in_computer_vision

    As applied in the field of computer vision, graph cut optimization can be employed to efficiently solve a wide variety of low-level computer vision problems (early vision [1]), such as image smoothing, the stereo correspondence problem, image segmentation, object co-segmentation, and many other computer vision problems that can be formulated in terms of energy minimization.