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  2. Circle Hough Transform - Wikipedia

    en.wikipedia.org/wiki/Circle_Hough_Transform

    The circle Hough Transform (CHT) is a basic feature extraction technique used in digital image processing for detecting circles in imperfect images. The circle candidates are produced by “voting” in the Hough parameter space and then selecting local maxima in an accumulator matrix. It is a specialization of the Hough transform.

  3. Comparison of raster-to-vector conversion software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_raster-to...

    2023 (version 12.4) [1] €960, €480 upgrade (Easy Trace Pro) Versions 7.99 and 8.65 are free (Easy Trace) Proprietary: Windows Adobe Illustrator: Adobe Inc. Formerly called Adobe Systems Inc. 1985 2023 (version 27.8.1) $19.99 per month Proprietary: Windows, macOS PhotoLine: Computerinsel GmbH 1996 2023 (version 24.01) $86, $42 upgrade ...

  4. Image conversion - Wikipedia

    en.wikipedia.org/wiki/Image_conversion

    Many image formats are native to one specific graphics application and are not offered as an export option in other software, due to proprietary considerations. An example of this is Adobe Photoshop 's native PSD-format (Prevention of Significant Deterioration), which cannot be opened in less sophisticated programs for image viewing or editing ...

  5. Image circle - Wikipedia

    en.wikipedia.org/wiki/Image_circle

    The image circle is the cross section of the cone of light transmitted by a lens or series of lenses onto the image plane. When this light strikes a perpendicular target such as photographic film or a digital camera sensor, it forms a circle of light – the image circle. Various sensor aspect ratios may be used which all fit inside the same ...

  6. Image sensor format - Wikipedia

    en.wikipedia.org/wiki/Image_sensor_format

    For example, 1/2.5 converts to 2/5 as a simple fraction, or 0.4 as a decimal number. This "inch" system gives a result approximately 1.5 times the length of the diagonal of the sensor. This "inch" system gives a result approximately 1.5 times the length of the diagonal of the sensor.

  7. Midpoint circle algorithm - Wikipedia

    en.wikipedia.org/wiki/Midpoint_circle_algorithm

    A circle of radius 23 drawn by the Bresenham algorithm. In computer graphics, the midpoint circle algorithm is an algorithm used to determine the points needed for rasterizing a circle. It is a generalization of Bresenham's line algorithm. The algorithm can be further generalized to conic sections. [1] [2] [3]

  8. Encircled energy - Wikipedia

    en.wikipedia.org/wiki/Encircled_energy

    In optics, encircled energy is a measure of concentration of energy in an image, or projected laser at a given range. For example, if a single star is brought to its sharpest focus by a lens giving the smallest image possible with that given lens (called a point spread function or PSF), calculation of the encircled energy of the resulting image gives the distribution of energy in that PSF.

  9. Image stitching - Wikipedia

    en.wikipedia.org/wiki/Image_stitching

    Image stitching is widely used in modern applications, such as the following: Document mosaicing [5] Image stabilization feature in camcorders that use frame-rate image alignment; High-resolution image mosaics in digital maps and satellite imagery; Medical imaging; Multiple-image super-resolution imaging; Video stitching [6] Object insertion