Paper
11 March 1993 Dynamic-threshold determination by local and global edge evaluation
Svetha Venkatesh, Paul L. Rosin
Author Affiliations +
Abstract
In this paper we consider two method for automatically determining values for thresholding edge maps. Rather than use statistical methods these methods are based on the figural properties of the edges. Two approaches are taken. We investigate applying an edge evaluation measure based on edge continuity and edge thinness to determine the threshold on edge strength. However, the technique is not valid when applied to edge detector outputs that are one-pixel wide. In this case, we use a measure based on work by Lowe for assessing edges. This measure is based on length and average strength of complete linked edge lists.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Svetha Venkatesh and Paul L. Rosin "Dynamic-threshold determination by local and global edge evaluation", Proc. SPIE 1964, Applications of Artificial Intelligence 1993: Machine Vision and Robotics, (11 March 1993); https://doi.org/10.1117/12.141789
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Artificial intelligence

Sensors

Computing systems

Edge detection

Statistical methods

Binary data

Computer vision technology

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