id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_oqlymuuk6ja3lfpzblmme72kyy	Kuang Chung Chen	Quantization-free parameter space reduction in ellipse detection	2011	71	.pdf	application/pdf	13293	1906	72	2.4 Experiment4 Single synthetic ellipse detection using figure 2.4 with one percent noise. edge point combinations are normally close to the major and minor axis of the ellipse and far apart from Other methods based on Hough transforms vary from edge directional information to parameter space In the Probabilistic Hough Transform, every edge point contribution to the final voting accumulator set In the method proposed in [33], ellipse detection consists then of four stages: removing spurious edge points parameters, the proposed method stores edges that voted for the ellipse center. Q Locate the highest accumulated ellipse center cell and retrieve the edge points, that voted for the In our algorithm, only the pair of edge points that are equidistant to the ellipse, as illustrated in Figure 3.2, 3.1.3 Locate the ellipse center with the highest accumulated cell and retrieve edges that 3.1.3 Locate the ellipse center with the highest accumulated cell and retrieve edges that 	./cache/work_oqlymuuk6ja3lfpzblmme72kyy.pdf	./txt/work_oqlymuuk6ja3lfpzblmme72kyy.txt