Edge detection from images is one of the most important concerns in digital image and video processing. With development in technology, edge detection has been greatly benefited and new avenues for research opened up, one such field being the real time video and image processing whose applications have allowed other digital image and video processing. It consists of the implementation of various image processing algorithms like edge detection using Sobels, Prewitt, Canny and Laplacian and so on. A different technique is reported to increase the performance of the edge detection. The algorithmic computations in real-time may have high level of time based complexity and Image processing system for the implementation Canny’s edge detector is proposed here. It is observed that techniques which follow the stage process of detection of noise and filtering of noisy pixels achieve better performance than others.
Dr. Shriram K Vasudevan, T, D., R, S., and S, K., “Automotive Image Processing Technique Using Canny’s Edge Detector”, International Journal of Engineering Science and Technology, vol. 2, no. 7, pp. 2632–2644, 2010.