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  • In this paper we present a novel approach for counting geometrical objects and finding interesting points of geometrical objects within an image. Primary attention is given to a certain class of images that contain feasibly visible objects at a considerable scale. The geometric shapes discussed here are initially limited to squares, rectangles, circles, triangles. Inputs are also taken from photographs where geometrical objects are present. Since the segmentation algorithms by means of edge detection [3] or any similar method provide highly accurate results only for gray level images, all the inputs are converted into gray images before subsequent processing. The results are very encouraging and show the potential usage of this approach in various applications of robotics, geography, statistics etc, where we actually do not require recognizing the object by its content but by the percentage of area of the objects in the whole image. The future scope could be potentially extended to polygons, ovals and
  • In this paper we present a novel approach for counting geometrical objects and finding interesting points of geometrical objects within an image. Primary attention is given to a certain class of images that contain feasibly visible objects at a considerable scale. The geometric shapes discussed here are initially limited to squares, rectangles, circles, triangles. Inputs are also taken from photographs where geometrical objects are present. Since the segmentation algorithms by means of edge detection [3] or any similar method provide highly accurate results only for gray level images, all the inputs are converted into gray images before subsequent processing. The results are very encouraging and show the potential usage of this approach in various applications of robotics, geography, statistics etc, where we actually do not require recognizing the object by its content but by the percentage of area of the objects in the whole image. The future scope could be potentially extended to polygons, ovals and (en)
Title
  • Identifying the Interesting Points in Geometrical Figures of Certain Class
  • Identifying the Interesting Points in Geometrical Figures of Certain Class (en)
skos:prefLabel
  • Identifying the Interesting Points in Geometrical Figures of Certain Class
  • Identifying the Interesting Points in Geometrical Figures of Certain Class (en)
skos:notation
  • RIV/00216305:26230/08:PU76761!RIV10-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
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  • 371315
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/08:PU76761
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Hierarchal Partition on Space Representation, Image Segmentation, Prune Length Threshold, GPU, CUDA (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4CEC3B1D3654]
http://linked.open...v/mistoKonaniAkce
  • High Tatras - Stará Lesná
http://linked.open...i/riv/mistoVydani
  • Košice
http://linked.open...i/riv/nazevZdroje
  • Proceedings 8th International Scientific Conference on Computers Science and Engineering
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Šimek, Václav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • Technická univerzita v Košiciach. Fakulta elektrotechniky a informatiky
https://schema.org/isbn
  • 978-80-8086-092-9
http://localhost/t...ganizacniJednotka
  • 26230
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