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2009 WRI World Congress on Computer Science and Information Engineering
An Improved Circle Detection Method Based on Right Triangles Inscribed in a Circle
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
| ASCII Text | x | ||
| Fei Shang, Jinwei Liu, Xiao Zhang, Di Tian, "An Improved Circle Detection Method Based on Right Triangles Inscribed in a Circle," Computer Science and Information Engineering, World Congress on, vol. 6, pp. 382-387, 2009 WRI World Congress on Computer Science and Information Engineering, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/CSIE.2009.588, author = {Fei Shang and Jinwei Liu and Xiao Zhang and Di Tian}, title = {An Improved Circle Detection Method Based on Right Triangles Inscribed in a Circle}, journal ={Computer Science and Information Engineering, World Congress on}, volume = {6}, year = {2009}, isbn = {978-0-7695-3507-4}, pages = {382-387}, doi = {http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.588}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computer Science and Information Engineering, World Congress on TI - An Improved Circle Detection Method Based on Right Triangles Inscribed in a Circle SN - 978-0-7695-3507-4 SP382 EP387 A1 - Fei Shang, A1 - Jinwei Liu, A1 - Xiao Zhang, A1 - Di Tian, PY - 2009 KW - Circle Detection KW - Right Triangles Inscribed in a Circle KW - Semi-random Detection KW - Computer Vision VL - 6 JA - Computer Science and Information Engineering, World Congress on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.588
An efficient method of detecting circles, called Semi-Random Detection (SRD) based on Right Triangles Inscribed in a Circle (RTIC), is presented. Above all, a 2D compressed Array Space based on the Positions of Valid Pixels (ASPVP) is constructed. And then four points searching method is used to search the corresponding right triangles. After employing a few specific and effective tools such as radius constraint, error distance judgment, data merging etc., real circle check is applied to get the real circles. Some composite images with different levels of noises and some real images have been taken to test the performance. Experimental results show that the proposed algorithm is fast, reliable and spatially compact.
Index Terms:
Circle Detection, Right Triangles Inscribed in a Circle, Semi-random Detection, Computer Vision
Citation:
Fei Shang, Jinwei Liu, Xiao Zhang, Di Tian, "An Improved Circle Detection Method Based on Right Triangles Inscribed in a Circle," csie, vol. 6, pp.382-387, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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