Abstract
Image processing has applications in real time embedded systems. Real time image processing requires processing on large data of image pixels in a stipulated time. Reconfigurable device such as FPGAs can be program to process on large image data and required processing time on image can be reduced by deploying parallelism, pipelining techniques in algorithm. Edge detection is very basic tool used in many image processing. Robert, Prewitt, Sobel edge detection are gradient based edge detection methods used to find edge pixels in an image. This paper presents comparisons of Robert, Prewitt, Sobel operators based edge detection techniques for real time uses. Edge detection algorithms are written with the help of hardware descriptive language VHDL. Xilinx ISE Design Suite-13 and MATLAB software platforms are used for simulation purpose. This paper focus on edge detection of gray scale image.
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