Hardware Implementation of Edge Detection Algorithm-A Review

Edge is one of the most fundamental and significant feature of image. It helps us to analyze, infer and take decision in various applications. Several edge detection algorithms are available; each one has significance based on subjective application. In this paper edge detection algorithm is proposed to be implemented over Field Programmable Gate Array (FPGA) for real time applications. FPGA has large internal memory, embedded multipliers and it offers parallelism. Hence, provides platform for processing real time algorithm with substantially higher performance than programmable Digital Signal Processor (DSPs) and microprocessor. Hardware implementation yields dedicated system which can serve for many real time image processing applications. For implementation ‘Xilinx System Generator’ (XSG) tool of Matlab may be used that generates net-list and bit-stream file by simplified approach.