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In-Depth Information
The above methods can realize the orientation angle detection, but they all have
significant limitations, and can not realize the orientation determination of multiple
insulators in aerial image with complicated background. This paper proposes a me-
thod of orientation angle detection of insulator in order to realize the orientation angle
detection of multiple insulators in aerial image with complicated background. Firstly,
extract sequential edge points and define their orientation angles of each linking con-
tour in the preprocessed image. And secondly define the points with sign-Changing
angle as candidate points. Finally, the accurate points can be picked up by RANSAC
from candidate points, and the straight line which accurate points locate in is the main
direction of target. Experimental results verify that the proposed method has higher
detection accuracy compared with the existing methods by using a large number of
insulator images that can lay the foundations for the localization and fault diagnosis of
insulators in complex background.
2
Proposed Method
This paper proposes a method of orientation angle detection of insulator in order to
realize the orientation angle detection of multiple insulators in aerial image with com-
plicated background. The flow chart of orientation angle detection of insulators is
shown in Fig. 1.
Fig. 1. The flow chart of orientation angle detection of insulator
2.1
Image Preprocessing
2.1.1 Image Binarization
Convert the original aerial image into binary image by threshold segmentation
to realize the separation of foreground and background. Take aerial insulator image
(Im 1) as an example, the foreground can be gotten which is shown in Fig. 2.
 
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