Integrated Lane Colorization Using Hough Transformation and Bilateral Filter

`Lane coloration is a significant technique in a number of intelligent automobile applications, containing the lane trip recognition and warning board, intelligent journey control and autonomous driving. This paper presents a literature review on the techniques for lane coloration and explores the benefits and limits of existing lane colorization problems. It has been found that most of existing researchers has neglected the filtering and restoration techniques. However it is also found that existing researchers has also neglected the overheads of existing techniques. So in order to reduce the limitations of the existing researchers we have proposed a new strategy which uses bilateral filter as pre-processing stage which has ability to reduce the noise from images before further processing. By doing so it has started working fine even for noisy images. The proposed algorithm has been designed and implemented in MATLAB. By passing different images we have shown the significant improvement of the proposed algorithm over the existing algorithms.