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IWCIA
2004
Springer

Corner Detection and Curve Partitioning Using Arc-Chord Distance

13 years 10 months ago
Corner Detection and Curve Partitioning Using Arc-Chord Distance
Abstract. Several authors have proposed algorithms for curve partitioning using the arc-chord distance formulation, where a chord whose associated arc spans k pixels is moved along the curve and the distance from each border pixel to the chord is computed. The scale of the corners detected by these algorithms depends on the choice of integer k. Without a priori knowledge about the curve, it is difficult to choose a k that yields good results. This paper presents a modified method of this type that can tolerate the effects of an improper choice of k to an acceptable degree. The new algorithm seems to yield generally good results. Keyword: curve partitioning, corner detection, polygonal approximation
Majed Marji, Reinhard Klette, Pepe Siy
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where IWCIA
Authors Majed Marji, Reinhard Klette, Pepe Siy
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