Article,
Automatic Vehicle Detection Techniques in Image Processing Using Satellite Imaginary
International Journal on Recent and Innovation Trends in Computing and Communication, 3 (3): 1178--1181 (March 2015)
DOI: 10.17762/ijritcc2321-8169.150363
Abstract
Digital image processing is a fast growing field and many applications are developed in science and engineering. Image processing has the possibility of establish the latest machine that could perform the visual functions of all living beings. Object recognition is one of the most imperative features of image processing. Object detection from a satellite image or aerial image is a type of the object recognition system. This system is the most interesting and challenging research topic from past few years. It is known that the traffic is increasing day by day in the developing and developed countries. Satellites images are normally used for weather forecasting and geographical applications. So, Satellites images may be also good for the traffic detection system using Image processing. An automated system is developed using morphological recognition algorithm in MATLAB R2013a. In which image is captured from camera and converted into gray scale image for pre-processing. After conversion, image complemented, binary conversion is applied on image. After conversion canny edge detection method has done and passed this detection to the dilation process. After filtration and dilation, area is selected where number of vehicles is maximum and vehicles are recognized from the image in the form of bounding box. For detection number of vehicle each separately blob analysis is used
