Improvement of a Traffic System using Image and Video Processing

Abstract

At present, the importance of improving a traffic system has become more important than ever before due to the immense number of vehicles on the road. In this paper a unifying philosophy for carrying out different level of image processing has been presented in order to find the best possible outcomes to solve the vision problem at night time. The whole process was done using the low level and mid level image processing algorithms. As there is no fixed method of doing this kind of transformations, in this paper different types of transformations have used to find out the best possible output. There are different types of edge detection techniques in order to detect the substances properly. In case of segmentation, there are different algorithms which can be manipulated according to the purpose. Here we have used some of these techniques to find out the best possible method for this job. Merging with logarithmic and power law transformation this edge detection and segmentation technique produces the output that we have longed for. Keyword – Image and Video processing, Image Enhancement, Gray Level Transformation, Image