期刊名称：International Journal of Image Processing (IJIP)
电子版ISSN：1985-2304
出版年度：2012
卷号：6
期号：5
页码：326-333
出版社：Computer Science Journals
摘要：This paper compares three error bounds that can be used to make dominant point detection methods non-parametric. The three error bounds are based on the error in slope estimation due to digitization. However, each of the three methods takes a different approach for calculating the error bounds. This results into slightly different natures of the three methods and slightly different values. The impact of these error bounds is studied in the context of the non-parametric version of the widely used RDP method [1, 2] of dominant point detection. It is seen that the recently derived error bound (the third error bound in this paper), which depends on both the length and the slope of the line segment, provides the most balanced dominant point detection results for a variety of curves.
关键词：Dominant Point Detection; Nonparametric; Non-heuristic; Error bound; Comparison; Digitization
