A method for local image translation, comprising: obtaining a region to be translated from an original image; extracting a region with a remarkable characteristic through performing cluster analysis on the region; performing region growing according to the region with the remarkable characteristic to generate a target region; and fusing the target region translated to the target image with the target image; wherein the step of extracting a region with a remarkable characteristic through performing cluster analysis on the region comprises: performing cluster analysis on the region to obtain n category clusters C 1 - C n; determining a remarkable characteristic parameter according to the category clusters; and, obtaining the region with the remarkable characteristic according to the remarkable characteristic parameter, comprising: defining the remarkable characteristic parameter as follows: P i = C i ∑ j = 1 n C j setting a remarkable characteristic threshold T, if max 1 ≤ i ≤ n P i < T, the method ending; otherwise, if P m = max 1 ≤ i ≤ n P i, considering a C m category cluster as a remarkable characteristic category cluster, and selecting a region where pixels in the category cluster are located as the region with the remarkable characteristic; wherein, P (i) is the remarkable characteristic parameter, i and j are positive integers, and Ci is the category cluster. obtaining a region to be translated from an original image; extracting a region with a remarkable characteristic through performing cluster analysis on the region; performing region growing according to the region with the remarkable characteristic to generate a target region; and fusing the target region translated to the target image with the target image; wherein the step of extracting a region with a remarkable characteristic through performing cluster analysis on the region comprises: performing cluster analysis on the region to obtain n category clusters C 1 - C n; determining a remarkable characteristic parameter according to the category clusters; and, obtaining the region with the remarkable characteristic according to the remarkable characteristic parameter, comprising: defining the remarkable characteristic parameter as follows: P i = C i ∑ j = 1 n C j setting a remarkable characteristic threshold T, if max 1 ≤ i ≤ n P i < T, the method ending; otherwise, if P m = max 1 ≤ i ≤ n P i, considering a C m category cluster as a remarkable characteristic category cluster, and selecting a region where pixels in the category cluster are located as the region with the remarkable characteristic; wherein, P (i) is the remarkable characteristic parameter, i and j are positive integers, and Ci is the category cluster. performing cluster analysis on the region to obtain n category clusters C 1 - C n; determining a remarkable characteristic parameter according to the category clusters; and, obtaining the region with the remarkable characteristic according to the remarkable characteristic parameter, comprising: defining the remarkable characteristic parameter as follows: P i = C i ∑ j = 1 n C j setting a remarkable characteristic threshold T, if max 1 ≤ i ≤ n P i < T, the method ending; otherwise, if P m = max 1 ≤ i ≤ n P i, considering a C m category cluster as a remarkable characteristic category cluster, and selecting a region where pixels in the category cluster are located as the region with the remarkable characteristic; wherein, P (i) is the remarkable characteristic parameter, i and j are positive integers, and Ci is the category cluster. defining the remarkable characteristic parameter as follows: P i = C i ∑ j = 1 n C j setting a remarkable characteristic threshold T, if max 1 ≤ i ≤ n P i < T, the method ending; otherwise, if P m = max 1 ≤ i ≤ n P i, considering a C m category cluster as a remarkable characteristic category cluster, and selecting a region where pixels in the category cluster are located as the region with the remarkable characteristic; wherein, P (i) is the remarkable characteristic parameter, i and j are positive integers, and Ci is the category cluster.