Fuzzy techniques allow a new perspective to model uncertainties due to the uncertainty of gray values present in the images .In previous Various Edge detection algorithm has been proposed in the literature for extracting the edges from the image. After emerging the fuzzy logic concept, a lot of Researcher of image processing shifted their attention towards the fuzzy logic concept and its applicability in the field of image processing. This paper presents an efficient fuzzy edge detection technique with parameters such as histogram; threshold and noise removing are carried out by using MATLAB R2015. This approach gives improved results than traditional edge detection techniques. Result of this technique is compared with various standard techniques like Sobel, Prewitt and Canny edge detection.