Difference between revisions of "Hough Transform"
Jump to navigation
Jump to search
m (added Wikipedia link) |
(added pictures) |
||
| Line 17: | Line 17: | ||
== Output == | == Output == | ||
* A list of the positions/orientations of the lines detected in the input image | * A list of the positions/orientations of the lines detected in the input image | ||
| + | |||
| + | == Pictures == | ||
| + | [[Image:LinesOnBlack.png|thumb|left|150px|Two solid straight lines]] | ||
| + | [[Image:LinesOnBlackWithHoughTransform.png|thumb|left|150px]] | ||
| + | [[Image:LinesOnBlackWithIdentifiedLines.png|thumb|left|150px]] | ||
| + | {{clr}} | ||
| + | |||
| + | [[Image:CurvyLine.png|thumb|left|150px|One solid curvy line]] | ||
| + | [[Image:CurvyLineAsHoughSpace.png|thumb|left|150px|]] | ||
| + | [[Image:CurvyLineWithIdentifiedLines.png|thumb|left|150px|]] | ||
| + | {{clr}} | ||
| + | |||
| + | [[Image:TwoSolidCurvyLines.png|thumb|left|150px|Two solid curvy lines]] | ||
| + | [[Image:TwoSolidCurvyLinesAsHoughSpace.png|thumb|left|150px|]] | ||
| + | [[Image:TwoSolidCurvyLinesWithIdentifiedLines.png|thumb|left|150px|]] | ||
| + | {{clr}} | ||
| + | |||
| + | [[Image:TwoDashedCurvyLines.png|thumb|left|150px|Two dashed curvy lines]] | ||
| + | [[Image:TwoDashedCurvyLinesAsHoughSpace.png|thumb|left|150px|]] | ||
| + | [[Image:TwoDashedCurvyLinesWithIdentifiedLines.png|thumb|left|150px|]] | ||
| + | {{clr}} | ||
Revision as of 21:34, 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
