On automatic threshold selection for polygonal approximations of digital curves

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Polygonal approximation is a very common representation of digital curves. A polygonal approximation depends on a parameter e, which is the error value. In this paper we present a method for an automatic selection of the error value, e. Let Γ(ε) be a polygonal approximation of the original curve Γ, with an error value e. We define a set of function, {Ns(ε)}sϵS s, such that for a given value of s, Ns(ε) is the number of edges that contain at least s vertices in Γ(ε.. The time complexity for computing the set of functions Ns(ε)}sϵSsϵS is almost linear in n, the number of vertices in Γ In this paper we analyse the Ns(ϵ) graph, and show that for adequate values of s a wide plateau is expected to appear at } the top of the graph. This plateau corresponds to a stable state in the multi-scale representation of {Г(ϵ)}ϵ∈E We show that the functions Ns(ϵ)sϵS are a statistical representation of some kind of scale-space image.

论文关键词:Image analysis,Digital curves,Automatic threshold selection,Polygonal approximations,Scale-space analysis,Percolation theory,Set Disjoint datastructure

论文评审过程:Received 3 July 1995, Revised 9 February 1996, Accepted 28 February 1996, Available online 7 June 2001.

论文官网地址:https://doi.org/10.1016/0031-3203(96)00037-4