Moment-preserving corner detection

Song Tyang Liu, Wen-Hsiang Tsai *

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

A new corner detection method based on the principle of preserving gray and mass moments is proposed. For each circular region in a digital image, bilevel thresholding based on gray moment preserving is used first to transform the blurred subimage in the region into a binary picture. Two approximate boundary points on the circumference of the thresholded circular region are obtained next by simple traversal. An approximate corner point is estimated from the geometric relation between the centroid and the three vertices of the triangular lamina formed by the corner pattern within the circular region. These points are then used as an initial guess for solving a system of nonlinear equations that are constructed by preserving the area and the three mass moments of the partial object lamina within the circular region. More accurate corner boundary points can finally be determined, from which not only the location but also the orientation as well as the angle of the corner can be computed. Experimental results show the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)441-460
Number of pages20
JournalPattern Recognition
Volume23
Issue number5
DOIs
StatePublished - 1 Jan 1990

Keywords

  • Corner detection
  • Gray moment
  • Mass moment
  • Moment-preserving principle Newton method

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