The invention discloses a target image region sub-sequence separation method based on a time correlation image sequence. The method comprises the steps of obtaining an initial image of a target imageregion; obtaining the initial image of the target image region according to an image target initial tracking decision algorithm; for each frame of image and N continuous frames of images after the frame, calculating the cross entropy and similarity between the neutrosophic metric of the target image area and the ideal neutrosophic metric, and obtaining the termination image of the target image area according to the principle that the larger the cross entropy is, the smaller the similarity is, and the more likely the Nth frame of image to be judged after the current frame is the termination image; acquiring a termination image of the target image region; and obtaining an initial image and a termination image of the target image region, and an image between the initial image and the termination image as a target image region sub-sequence. The technical problem that in the prior art, no effective feature representation method is provided for the target image region, so that a target imageregion sub-sequence separation method with high robustness cannot be provided can be solved.
Target image region sub-sequence separation method based on time correlation image sequence