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- Q17105451 subject Q5875502.
- Q17105451 subject Q9777635.
- Q17105451 abstract "Hough transforms are techniques for object detection, a critical step in many implementations of computer vision, or data mining from images. Specifically, the Randomized Hough transform is a probabilistic variant to the classical Hough transform, and is commonly used to detect curves (straight line, circle, ellipse, etc.) The basic idea of Hough transform (HT) is to implement a voting procedure for all potential curves in the image, and at the termination of the algorithm, curves that do exist in the image will have relatively high voting scores. Randomized Hough transform (RHT) is different from HT in that it tries to avoid conducting the computationally expensive voting process for every nonzero pixel in the image by taking advantage of the geometric properties of analytical curves, and thus improve the time efficiency and reduce the storage requirement of the original algorithm.".
- Q17105451 wikiPageWikiLink Q1513153.
- Q17105451 wikiPageWikiLink Q172491.
- Q17105451 wikiPageWikiLink Q195076.
- Q17105451 wikiPageWikiLink Q3045304.
- Q17105451 wikiPageWikiLink Q3889649.
- Q17105451 wikiPageWikiLink Q40112.
- Q17105451 wikiPageWikiLink Q420105.
- Q17105451 wikiPageWikiLink Q5875502.
- Q17105451 wikiPageWikiLink Q74304.
- Q17105451 wikiPageWikiLink Q8366.
- Q17105451 wikiPageWikiLink Q844240.
- Q17105451 wikiPageWikiLink Q9777635.
- Q17105451 comment "Hough transforms are techniques for object detection, a critical step in many implementations of computer vision, or data mining from images.".
- Q17105451 label "Randomized Hough transform".