Abstract: A method based on Cabor filter is proposed for the detection of Pulses of Bottlenose dolphin (Tursiops truncates). First, the acoustic signal is divided into frames, and the spectrogram of each frame is calculated. Then Gabor filter is designed to extract the vertical lines in the spectrogram. Adaptive threshold is used to detect the regions where pulses may be located in the spectrogram. Finally, the positions of the pulses are determined by the connected component analysis. Simulating test signal of different signal to noise ratio (SNR), the detection rate is 99% and the error rate is 0% when SNR is 15 dB. Detecting pulses in real world acoustic signal, the detection rate is 100%. The method is expected to provide technical support for dolphin observation and the study of dolphins' biological behavior.