In this paper we consider two methods for automatically determining values for thresholding edge maps. Rather than use statistical methods they 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.
History
Event
Applications of Artificial Intelligence (1993 : Orlando, Fla.)
Pagination
40 - 50
Publisher
SPIE
Location
Orlando, Fla.
Place of publication
Bellingham, Wash.
Start date
1993-04-14
ISBN-10
0819412007
Language
eng
Publication classification
E1.1 Full written paper - refereed
Copyright notice
2005, SPIE--The International Society for Optical Engineering
Editor/Contributor(s)
K Boyer, L Stark
Title of proceedings
SPIE 1993 : Proceedings of SPIE - the International Society for Optical Engineering : Machine Vision and Robotics