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) |
m (→Cons: toned down the language relating to the filter's ability to detect curved lines) |
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== Cons == | == Cons == | ||
| − | * | + | * Designed for detecting ''straight'' lines, making it tricky to use for curved lines - which will probably be common |
| − | |||
* Designed to detect ''lines'' as opposed to detecting ''line segments'' | * Designed to detect ''lines'' as opposed to detecting ''line segments'' | ||
* Computationally expensive (when compared to simple filters) | * Computationally expensive (when compared to simple filters) | ||
Revision as of 21:27, 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
- Designed for detecting straight lines, making it tricky to use for curved lines - which will probably be common
- 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
