Nonparametric dominant point detection

Nirwan Ansari, Kuo Wei Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


A new method for detecting dominant points is presented. It does not require any input parameter, and the dominant points obtained by this method remain relatively the same even when the object curve is scaled or rotated. In this method, for each boundary point, a support region is assigned to the point based on its local properties. Each point is then smoothed by a Gaussian filter with a width proportional to its determined support region. A significance measure for each point is then compared. Dominant points are finally obtained through nonmaximum suppression. Unlike other dominant point detection algorithms which are sensitive to scaling and rotation of the object curve, the new method will overcome this difficulty. Furthermore, it is robust in the presence of noise. The proposed new method is compared to a well-known dominant point detection algorithm in terms of the computational complexity and the approximation errors.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Number of pages12
Editionpt 1
ISBN (Print)0819407437, 9780819407436
StatePublished - 1991
EventVisual Communications and Image Processing '91: Image Processing Part 1 (of 2) - Boston, MA, USA
Duration: Nov 11 1991Nov 13 1991

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Numberpt 1
ISSN (Print)0277-786X


OtherVisual Communications and Image Processing '91: Image Processing Part 1 (of 2)
CityBoston, MA, USA

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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