A method for infrared image segment based on sharp frequency localized contourlet transform and morphology

A method associating sharp frequency localized contourlet transform with morphology to remove mixing noise and suppress background disturbance of infrared images is proposed. This method use sharp frequency localized contourlet transform and a morphology filter to deny the noise in infrared images. And then segment infrared images by regional method of morphology watershed, the target can be isolated easily. During the experiments, we can see that, the submit method can detect and segment the goal in the low SNR infrared image with complicated background effectively. And the result of this method is better than that based on contourlet transform and wavelet transform.