The Orientation Angle Detection of Multiple Insulators in Aerial Image

Insulator is one of the important equipments on the transmission line, and its orientation angle detection is an important preprocessing step for accurate localization of insulator. This paper proposes a method of orientation angle detection of insulators in order to realize the orientation determination of multiple insulators in aerial image with complicated background. Firstly, extract sequential edge points and define their orientation angles of each linking contour 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 (RANdom SAmple Consensus) from candidate points, and the straight line which accurate points locate in is the main direction of the target. 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 complicated background.

[1]  Liang Yan-hua.  Hough Transform and Its Application in Declining License Plate , 2004 .

[2]  Zhaohui Wu,et al.  Human face orientation detection using power spectrum based measurements , 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

[3]  Jiebo Luo,et al.  Automatic image orientation detection via confidence-based integration of low-level and semantic cues , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Rui Ting.  A New Algorithm for Identifying Polygons' Orientation , 2006 .

[5]  Jie Wang,et al.  Fast and Accurate Detection of Document Skew and Orientation , 2007 .

[6]  Wang Hai-jiao.  Novel approach for vehicle license plate tilt correction based on Radon transform , 2008 .

[7]  Guohong Wang,et al.  An Optimization Algorithm of Vehicle License Plate Correction Based on Minimum Projection Distance , 2008, 2008 The 9th International Conference for Young Computer Scientists.

[8]  Fang Hai-guang.  Modeling and application for teacher-oriented software fuzzy evaluation based on software usability , 2008 .

[9]  Wang Jing-wen.  Multi-view Target Recognition Algorithm Based on Support Vector Machine Classification , 2009 .

[10]  Thomas M. Breuel,et al.  Recognition Driven Page Orientation Detection , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[11]  Shen Jian-feng.  Research on Getting Aspect Angular for Radar/Infrared-Imaging ASM , 2009 .

[12]  Christoph Seibert,et al.  Fast Seamless Skew and Orientation Detection in Document Images , 2010, 2010 20th International Conference on Pattern Recognition.

[13]  Wang Jun.  Method to estimate the trajectory of space target with infrared mono-station , 2011 .

[14]  Bidyut Baran Chaudhuri,et al.  Composite Script Identification and Orientation Detection for Indian Text Images , 2011, 2011 International Conference on Document Analysis and Recognition.

[15]  Vitoantonio Bevilacqua,et al.  Advanced Intelligent Computing: 8th International Conference ICIC 2012, Huangshan , China, July 25-29, 2012: Proceedings , 2012 .

[16]  Krishnan Nallaperumal,et al.  Image refinement using skew angle detection and correction for Indian license plates , 2012, 2012 IEEE International Conference on Computational Intelligence and Computing Research.

[17]  Lin Lei,et al.  Detecting Insulators in the Image of Overhead Transmission Lines , 2012, ICIC.

[18]  Bingfeng Li,et al.  A Method of Insulator Detection from Video Sequence , 2012, 2012 Fourth International Symposium on Information Science and Engineering.

[19]  Zhe Zhang,et al.  Research on Fault Diagnosis of Transmission Line Based on SIFT Feature , 2013, ISNN.

[20]  Zeng-Guang Hou,et al.  Advances in Neural Networks – ISNN 2013 , 2013, Lecture Notes in Computer Science.