A Novel Morphological Edge Detection and Window Based Approach for Real-Time Road Traffic Control and Management

Different types of road traffic parameters are required for modern road traffic control and management operations. Image processing based systems have been used to for collecting and analyzing road traffic data. However, these techniques have not yielded good results due to various problems such as inefficiency of background updating and selecting a threshold value, change in ambient lighting etc., which resulted in false detection of vehicles. In this paper we describe novel morphological edge detection and window based image processing technique for road traffic applications. This novel method has been implemented on a Pentium-based microcomputer system and the results are reported online in real-time. We also have compared our system with other traditional image processing based systems and the results indicate that our proposed system provides better results than the traditional image processing based systems