DocumentCode :
3426938
Title :
Multi-weight diameter bisection method for ellipse detection
Author :
Wei, Yu ; Charoensak, C. ; Bing, Xiong
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
fYear :
2004
fDate :
1-3 Dec. 2004
Lastpage :
42446
Abstract :
This paper presents an improved diameter bisection method used in the application of ellipse detection. Based on first and second order derivative grouping and multi-weight, the proposed diameter bisection method offers significant speed improvement of ellipse detection over other chord tangent methods based on Hough transform. The computation complexity of the algorithm is formulated and the results show that the proposed algorithm offers a very good performance. Compared to other Hough transform-based methods, the proposed method is much simpler and thus faster. When compared with original diameter bisection, the proposed method improves on the robustness, speed, and accuracy through the use of multi-weights and newly introduced constraints.
Keywords :
Hough transforms; computational complexity; medical image processing; Hough transform; chord tangent methods; computation complexity; ellipse detection; multi-weight diameter bisection method; Biomedical imaging; Computational modeling; Computer vision; Image edge detection; Noise level; Noise robustness; Noise shaping; Object detection; Shape; Voting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Circuits and Systems, 2004 IEEE International Workshop on
Print_ISBN :
0-7803-8665-5
Type :
conf
DOI :
10.1109/BIOCAS.2004.1454126
Filename :
1454126
Link To Document :
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