The important basis on the classification and target recognization of nonstationary signal is how to effectively extract feature from it in the gaussian white noise ambience. The watershed algorithm is used to segment the time-frequency distribution of a signal and combine segmentations according energy maximum criterion, then a feature extraction method based on energy is proposed. Simulative examples demonstrate that it can effectively extract feature and has a good anti-noise performance to gaussian white noise.