VLSI Implementation of Image Segmentation with Resource Optimized Adaptive Median Filter

Field Programmable Gate Array) is utilized to realize the image segmentation. We describe a newfangled method for segmentation of 2-D imagery that uses resource optimized adaptive median filter for image enhancement. A pipelined implementation on FPGA for this algorithm is designed. Sobel operator is used for edge detection. Processed results of test images are presented to illustrate the performance capabilities of the proposed method. The FPGA resource utilization for proposed architecture is 50% less compared to the Adaptive M edian Filter and the variation in the final picture quality is only + 1dB PSNR.