Extraction of Partially Occluded Elliptical Objects by Modified Randomized Hough Transform

Authors:
Kwangsoo Hahn;Youngjoon Han;Hernsoo Hahn
Affiliations:
Dept. of Electrical Engineering, Soongsil University, Sando-Dong, Dongjak-Ku, Seoul 156-743, Korea;Dept. of Electrical Engineering, Soongsil University, Sando-Dong, Dongjak-Ku, Seoul 156-743, Korea;Dept. of Electrical Engineering, Soongsil University, Sando-Dong, Dongjak-Ku, Seoul 156-743, Korea
Venue:
KI '07 Proceedings of the 30th annual German conference on Advances in Artificial Intelligence
Year:
2007

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Abstract

Ellipse detection is very important in computer vision, object recognition, feature selection and so on. This paper proposes a new ellipse detection method using local information of edge points. It merges line segments using modified randomized Hough transform (RHT) that belongs to same ellipse. It is fast, correct and robust to noise because it detects ellipse using line segments that are constructed by local information of edge points. The proposed method in this paper can not apply only ellipse detection but line, circle and partially occluded elliptical object.