FPGA Implementation of Runway Extraction using Image Fusion Method

Image Fusion is one of the major research fields in image processing. It is a process of combining the relevant information from a set of images, into a single image, without the introduction of distortion wherein the resultant fused image will be more informative and complete than any of the input images. Image fusion techniques can improve the quality and increase the application of these data. This paper presents the design and implementation of a low-cost vision-based system for an aircraft during approach and landing under low visibility, based on image processing algorithm. Reconfigurable device like FPGAs have emerged as promising solutions for reducing execution times by deploying parallelism techniques in image processing algorithms. Xilinx Platform Studio-10.1 software platform is used to design an algorithm using c language. MATLAB is used to perform RGB to gray conversion and to obtain pixel data matrix from image.