Abstract: We present, in this paper, effective edge detection methods using type 2 fuzzy inference systems which are known for their uncertainty handling ability. These methods are clubbed up with morphological gradient to enhance their edge detection capabilities. We emphasize on the application of generalized type 2 fuzzy system to the image and detection of edge. We then compare the Morphological Gradient with the type 1 fuzzy system, integrated interval type 2 fuzzy system (Interval type 2 fuzzy logic applied upon Morphological Gradient Technique) and generalized type 2 fuzzy system (Generalized type 2 fuzzy logic applied upon Morphological Gradient Technique). Also these edge detectors are tested on images added with 0.001 white gaussian noise and salt and pepper noise. Recall, precision and PFOM are also calculated for each system and compared.