An efficient and accurate approach of circular object detection in color images

Yangxing Liu, Satoshi Goto

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Object detection is a critical step of many image recognition systems. In this paper, we discuss the problem of circular shape object detection in still color images. An isotropic edge detector merged with spatial information and region based analysis is employed to extract image edge and obtain accurate gradient information of edge pixels, which assures the high accuracy of the subsequent circle detection. Then three circle parameters are estimated efficiently with only one 2-dimensional accumulator array and one 1-dimensional accumulator array, which greatly reduces the storage requirements and time complexity of our approach. Experimental results show that our method is robust in locating objects with complete or incomplete or concentric circle boundary in real color images without any prior knowledge.

Original languageEnglish
JournalComputers and Electrical Engineering
DOIs
Publication statusAccepted/In press - 2014

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science(all)

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