Genetic Algorithm and DWT Based Multilevel Automatic Thresholding Approach for Vehicle Extraction
Rakesh Kumar1, Tapesh Parashar2, Gopal Verma3
1Rakesh Kumar, Director, KS Jain Engineering College, Modinagar, U.P., India.
2Tapesh Parashar, Associate Professor, Vishveshwarya Institute of Technology, G.B.Nagar, U.P., India.
3Gopal Verma, Associate Professor, Sunderdeep Engineering College, Ghaziabad, U.P., India.
Manuscript received on April 15, 2012. | Revised Manuscript received on April 20, 2012. | Manuscript published on May 05, 2012. | PP: 17-21 | Volume-2 Issue-2, May 2012 . | Retrieval Number: A0492032212/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Vehicle Extraction from aerial images is an important research topic in surveillance, traffic monitoring and military applications. In this paper, an approach based on Automatic Multilevel Thresholding has been proposed for extracting vehicles from aerial imagery. The approach combines Genetic Algorithm with DWT to make segmentation faster and geometric feature of vehicles for vehicle extraction. This algorithm analyses the color and connected properties of pixels to extract the outline of vehicles. In this research, UAV colour imagery is examined experimentally. After analysis, it is examined that proposed method provides the vehicle position accurately.
Keywords: Histogram, Thresholding, Genetic Algorithm, Discrete Wavelet Transform, Morphological Processes, Edge Detection, Aerial Imagery