A Web Server Based Edge Detector Implementation in FPGA

Image edge detection plays an important role in applications such as handwriting and face recognition, corner and obstacle detection. This paper presents a web server-client implementation for remote image processing applications. The web server is implemented using the Microblaze soft-processor core in FPGA. The edge detection kernels are mapped on QUKU, which is a coarse grained dynamically reconfigurable PE array. We have also compared the performance of QUKU with alternative implementations in FPGA. The results show that QUKU provides a considerable speed-up in performance and gave the best area-time performance.