File:HoughSpace3D.PNG
HoughSpace3D.PNG (726 × 360 pixels, file size: 53 KB, MIME type: image/png)
Captions
Summary
[edit]DescriptionHoughSpace3D.PNG |
DESCRIPTION: The principle of Hough transformation applyed to circle detection. Each point on the grey circle (we must detect this) votes (centreX, centreY, radius)s in the 3D Hough space. For a point on the grey circle (here we have the leftmost one), many circles that pass the point can be drawn (e.g. red, green, blue ones). Given a (centreX, centreY) pair, a radius is detemined as shown in the equation below. Then (centreX, centreY, radius)s can be plotted in the Hough spaece as a curved surface that you can see on the right panel. This procedure should be repeated for each data point and crossing points of the surfaces should be determined. Resulted crossing point would represent the grey circle in the left panel. Drawn by uploader, myself. 3D graph is made by en:R programming language. |
Date | 14 September 2006 (original upload date) |
Source | No machine-readable source provided. Own work assumed (based on copyright claims). |
Author | No machine-readable author provided. NekoJaNekoJa~commonswiki assumed (based on copyright claims). |
Licensing
[edit]Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled GNU Free Documentation License.http://www.gnu.org/copyleft/fdl.htmlGFDLGNU Free Documentation Licensetruetrue |
This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license. | ||
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File history
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 08:47, 14 September 2006 | 726 × 360 (53 KB) | NekoJaNekoJa~commonswiki (talk | contribs) | DESCRIPTION: The principle of Hough transformation applyed to circle detection. Each point on the grey circle (we must detect this) votes (centreX, centreY, radius)s in the 3D Hough space. For a point on the grey circle (here we have the lightmost one) |
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