An accurate and low complexity approach of detecting circular shape objects in still color images

Yangxing Liu, Satoshi Goto, Takeshi Ikenaga

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Object detection is a critical step of many image recognition systems. In this paper, we discussed the circular shape object detection problem in still color images. The proposed method has an important feature of integrating color image edge extraction result with a novel circle parameter determination algorithm efficiently. First, an accurate isotropic edge detector is introduced to extract color image edge and calculate precise gradient direction of each potential edge pixel, which assures the high accuracy of subsequent circle detection. Then the detected potential edge results are verified by integrating them with spatial information and the result of region based analysis. Second we utilize just only one 2-dimensional accumulator array and one 1-dimensional accumulator array, which greatly reduce storage requirement and time complexity, to detect circles of any radius. Furthermore, the validity of detected potential circle centers is checked to avoid detecting false circles. Experimental results show that our method is robust and effective in locating objects with complete or incomplete or concentric circle boundary in real color images without any prior knowledge.

本文言語English
ホスト出版物のタイトルIEEE International Conference on Image Processing 2005, ICIP 2005
ページ333-336
ページ数4
DOI
出版ステータスPublished - 2005 12 1
イベントIEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy
継続期間: 2005 9 112005 9 14

出版物シリーズ

名前Proceedings - International Conference on Image Processing, ICIP
1
ISSN(印刷版)1522-4880

Conference

ConferenceIEEE International Conference on Image Processing 2005, ICIP 2005
CountryItaly
CityGenova
Period05/9/1105/9/14

ASJC Scopus subject areas

  • Engineering(all)

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