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

Fingerprint

Color
Image recognition
Pixels
Detectors
Object detection

ASJC Scopus subject areas

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

Cite this

An efficient and accurate approach of circular object detection in color images. / Liu, Yangxing; Goto, Satoshi.

In: Computers and Electrical Engineering, 2014.

Research output: Contribution to journalArticle

@article{fc066d99191740a2a63739f24f7507b2,
title = "An efficient and accurate approach of circular object detection in color images",
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.",
author = "Yangxing Liu and Satoshi Goto",
year = "2014",
doi = "10.1016/j.compeleceng.2014.04.019",
language = "English",
journal = "Computers and Electrical Engineering",
issn = "0045-7906",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - An efficient and accurate approach of circular object detection in color images

AU - Liu, Yangxing

AU - Goto, Satoshi

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84900370947&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84900370947&partnerID=8YFLogxK

U2 - 10.1016/j.compeleceng.2014.04.019

DO - 10.1016/j.compeleceng.2014.04.019

M3 - Article

JO - Computers and Electrical Engineering

JF - Computers and Electrical Engineering

SN - 0045-7906

ER -