Difference between revisions of "Hough Transform"
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m (→Pictures: added pictures for when the filter is applied to an image containing no lines) |
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[[Image:TwoDashedCurvyLinesAsHoughSpace.png|thumb|left|150px|]] | [[Image:TwoDashedCurvyLinesAsHoughSpace.png|thumb|left|150px|]] | ||
[[Image:TwoDashedCurvyLinesWithIdentifiedLines.png|thumb|left|150px|]] | [[Image:TwoDashedCurvyLinesWithIdentifiedLines.png|thumb|left|150px|]] | ||
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| + | [[Image:NoLines.png|thumb|left|150px|No lines at all! Just some salt noise.]] | ||
| + | [[Image:NoLinesAsHoughSpace.png|thumb|left|150px|Yikes!]] | ||
| + | [[Image:NoLinesWithIdentifiedLines.png|thumb|left|150px|Double yikes! The robot would probably panic upon seeing this. :P]] | ||
{{clr}} | {{clr}} | ||
Revision as of 21:23, 21 November 2005
A good description is on this page.
Wikipedia also has its own Hough Transform article.
Contents
Pros
- Able to detect dashed lines
Cons
- Can only detect straight lines, making it almost useless for curved lines - which will probably be common
- Useless for detecting curved lines
- Designed to detect lines as opposed to detecting line segments
- Computationally expensive (when compared to simple filters)
Input
- A binary/grayscale image hilighting the line-pixels in the input image
Output
- A list of the positions/orientations of the lines detected in the input image
Pictures
