Abstract
Edge is a basic feature of an image, the purpose of edge detection is to reduce the amount of data in an image while preserving the shape information of objects .Field programmable gate arrays (FPGA) are best suited to implement image processing algorithms with the reason that it provides infinite reprogram ability and high parallelism.The aim of this paper is to design a real-time sobel extract system based on HLS method and the implement it on ZYNQ FPGA. The result shows the software processing time is almost 80 times than the hardware processing. The hardware acceleration has remarkable effect on sobel filtering.
Highlights
Edge is a basic feature of an image, the purpose of edge detection is to reduce the amount of data in an image while preserving the shape information of objects in an image
The design of Field programmable gate arrays (FPGA) based sobel edge detection system is presented in this paper
The project is realized on ZYNQ FPGA kit
Summary
Edge is a basic feature of an image, the purpose of edge detection is to reduce the amount of data in an image while preserving the shape information of objects in an image. Image processing systems are recognized as computational and data intensive systems. Such systems need high performance capabilities to meet the real time applications requirements. Those applications include real-time face/fingerprint recognition, video surveillance, military aerial systems. The programming model of an FPGA was centered on register-transfer level descriptions and it is a great obstacle for software designers. The aim of this paper is to design and optimize a sobel filter system on Zynq based on HLS method
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