Moment preserving detection of elliptical shapes in gray-scale images

Royal Lee, Po Chiang Lu, Wen-Hsiang Tsai *

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

A new method for elliptical shape detection based on the principle of gray and mass moment preserving is proposed. For each elliptical region in a gray-scale image, automatic bilevel thresholding based on gray moment preserving is used first to transform the blurred image in the region into a binary picture. The five parameters of the elliptical shape are then computed using the mass moment preserving principle. A major merit of the method is that these parameters can be uniquely and analytically determined without iterative computation. By the proposed method, other shapes like rectangles, circles, semi-circle running tracks, etc. can also be detected. Experimental results show the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)405-414
Number of pages10
JournalPattern Recognition Letters
Volume11
Issue number6
DOIs
StatePublished - 1 Jan 1990

Keywords

  • Shape

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