Difference between revisions of "Hough Transform"
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(added description of pros/cons and inputs/outputs) |
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A good description is on [http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm this page]. | A good description is on [http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm this page]. | ||
| + | |||
| + | == 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 | ||
Revision as of 20:33, 18 November 2005
A good description is on this page.
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
