T. Manikyala Rao, Praveen Chakravarthy B. H, R. Sushma and G.Parameswara Rao
SSCE, India

Edge Detection plays a crucial role in Image Processing and Segmentation where a set of algorithms aims to identify various portions of a digital image at which a sharpened image is observed in the output or more formally has discontinuities. The contour of Edge Detection also helps in Object Detection and Recognition. Image edges can be detected by using two attributes such as Gradient and Laplacian. In our Paper, we proposed a system which utilizes Canny and Sobel Operators for Edge Detection which is a Gradient First order derivative function for edge detection by using Verilog Hardware Description Language and in turn compared with the results of the previous paper in Matlab. The process of edge detection in Verilog significantly reduces the processing time and filters out unneeded information, while preserving the important structural properties of an image. This edge detection can be used to detect vehicles in Traffic Jam, Medical imaging system for analysing MRI, x-rays by using Xilinx ISE Design Suite 14.2.

Sobel, Canny, Verilog, ISE Design Suite 14.2