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The Automated Vehicle Detection of Highway Traffic Images by Differential Morphological Profile
Department of Information Technology, College of Engineering Roorkee, Roorkee, India
Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India
Department of Mathematics, Indian Institute of Technology Ropa, Ropar, India
Department of Earth quake, Indian Institute of Technology Roorkee, Roorkee, India
- 1 Department of Information Technology, College of Engineering Roorkee, Roorkee, India
- 2 Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India
- 3 Department of Mathematics, Indian Institute of Technology Ropa, Ropar, India
- 4 Department of Earth quake, Indian Institute of Technology Roorkee, Roorkee, India
Journal of Transportation Technologies·Volume 04 (2014)·Pages 150–156·Published 21 April 2014·DOI10.4236/jtts.2014.42015
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Abstract
Vehicle detection has been the critical part of the traffic surveillance system for many years. However, vehicle detection method is still challenging. In this paper, differential morphology closing profile is used to extract the vehicle automatically from the traffic image. Along with closing profile, some addition operation has been applied as a part of the algorithm to get the high detection and quality rate. Result demonstrated that the novel method has an excellent detection and quality percentage. We also have compared our automated detection method with other traditional image processing based methods and the results indicate that our proposed method provides better results than traditional image processing based methods.
KeywordsAverage FilterDifferential Morphology Closing ProfileStructure ElementThresholdingVehicle Detection
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