In this paper fuzzy based edge detection algorithm is developed. In the proposed algorithm, edginess at each pixel of a digital image is calculated using three (3) 3 3 linear spatial filters i.e. low-pass, high-pass and edge enhancement (Sobel) filters through spatial convolution process. Edge strength values derived from the three masks form three set of edges, utilized as fuzzy system inputs. Based on the Gaussian membership functions and fuzzy rules the fuzzy system decide whether a pixel in focus belong to an edge or non-edge. The final pixel classification of a given image is produced by generating output pixel value using Mamdani defuzzifier method. The robustness of the proposed method results for different captured images are compared to those obtained with Sobel and Prewitt operators. Experimental results show the ability and high performance of proposed algorithm.