Insulator Detection and Defect Classification using Rotation Invariant Local Directional Pattern
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 2
Abstract
Detecting power line insulator automatically and analyzing their defects are vital processes in maintaining power distribution systems. In this work, a rotation invariant texture pattern named rotation invariant local directional pattern (RI-LDP) is proposed for representing insulator image. For this at first, local directional pattern (LDP) is applied on image which can encode local texture pattern into an eight bit binary code by analyzing magnitude of edge response in eight different directions. Finally this LDP code is made robust to rotation by meticulously rearranging the generated another binary code which named as rotation invariant local directional pattern (RI-LDP). Insulator detection is carried out where this RI-LDP based histogram act as a feature vector and support vector machine (SVM) plays the role of the classifier. The detected insulator image region is further analyzed for possible defect identification. For this, an automatic extraction method of the individual insulator caps is proposed. The defect in segmented insulators is analyzed using LDP texture feature on individual cap region. We evaluated the proposed method using two sets of 493 real-world insulator images captured from a ground vehicle. The proposed insulator detector shows comparable performance to state-of-the-arts and our defect analysis method outperforms existing methods.
Authors and Affiliations
Taskeed Jabid, Tanveer Ahsan
Keywords
Related Articles
- EP ID EP276863
- DOI 10.14569/IJACSA.2018.090237
- Views 75
- Downloads 0
NB-IoT Pervasive Communications for Renewable Energy Source Monitoring
Renewable sources like solar and wind energy have seen a drastic increase in the market, especially in developing countries where electricity prices are high and QoS and QoE, both are at their lowest. In this paper, we i...
Survey of Nearest Neighbor Condensing Techniques
The nearest neighbor rule identifies the category of an unknown element according to its known nearest neighbors’ categories. This technique is efficient in many fields as event recognition, text categorization and objec...
Acquisition and Classification System of EMG Signals for Interpreting the Alphabet of the Sign Language
Taking into account that in Peru, there is an increase in people with difficulties in speaking or communicating. According to the National Institute of Statistics and Informatics of Peru (INEI for its acronym in Spanish)...
Factors Influencing Patients’ Attitudes to Exchange Electronic Health Information in Saudi Arabia: An Exploratory Study
Health Information Exchange (HIE) systems electronically transfer patients’ clinical, demographic, and health-related information between different care providers. These exchanges offer improved health care quality, redu...
Development of Social Media GIS for Information Exchange between Regions
This study aims to develop a social media GIS (Geographic Information Systems) specially tailored to information exchange between regions. The conclusions of this study are summarized in the following three points.(1) So...