The invention relates to an image edge detection method based on self-adaptive neural fuzzy inference systems. With regard to an image polluted by spiced salt pulse noises, the method has the advantages that a network containing four self-adaptive neural fuzzy inference systems and a post-processing module is constructed; before the network is used for carrying out edge detection on a noise image, a training image is artificially constructed and a mixed learning algorithm is used for independently training the four self-adaptive neural fuzzy inference systems to determine parameters in the systems; after the four self-adaptive neural fuzzy inference systems are trained, one network can be formed by the four self-adaptive neural fuzzy inference systems and one post-processing module to carry out the edge detection on a testing image. The image edge detection method disclosed by the invention has the characteristics that even if the testing image is polluted by the noises, the method can effectively extract edge information in the image and does not need to carry out image filtering pre-processing process.