Graphics Reference
In-Depth Information
Table 1. The comparison of existing methods and proposed method
Rotation
angle
Method
1
Method
2
Method
3
Method
4
Proposed
method
0.00
3.00
42.70
1.00
1.00
0.00
10.00
9.00
16.44
11.00
9.00
9.17
20 .00
19 .00
26.50
17.00
19.00
19.32
30.00
29.00
28.76
33.00
29.00
29.00
40.00
40.00
38.60
36.00
39.00
41.74
50.00
39.00
48.46
48.00
49.00
49.43
60.00
29.00
53.04
58.00
59.00
60.11
4
Conclusions
This paper proposes a novel method of orientation angle detection of aerial multiple
insulators in complex background. It extracts sequential edge points and defines their
orientation angles for each linking contour in the input image, and defines the points
with sign-Changing angle as candidate points, and the accurate points can be picked
up by RANSAC from candidate points, the straight line which accurate points locate
in is the main direction orientation of insulator. Experimental results verify that the
proposed method has higher detection accuracy compared with the existing methods
that can lay the foundations for the localization of multiple insulators in complex
background.
Reference
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2012. LNCS, vol. 7389, pp. 442-450. Springer, Heidelberg (2012)
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Line Based on SIFT Feature. In: Guo, C., Hou, Z.-G., Zeng, Z. (eds.) ISNN 2013, Part II.
LNCS, vol. 7952, pp. 569-577. Springer, Heidelberg (2013)
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