The invention discloses a color-
image segmentation method. The color-
image segmentation method includes the following steps: inputting to-be-segmented images and carrying out initialized setting; enabling the input images to be mapped to various color spaces from initial color spaces of the input images, and obtaining a group of color images which are transformed; in a plurality of color spaces, carrying out
image segmentation on the group of the color images through a
fingerprint image segmentation method, and obtaining a plurality of segmentation results; serving one of the plurality of segmentation results as a standard, respectively carrying out category mark registration on the rest segmentation results, correspondingly obtaining segmentation results which are after the registration; carrying out
information fusion on the segmentation results which are after the registration and the segmentation result which serves as the standard, obtaining a fused segmentation result, calculating category marks which correspond to pixels in the to-be-segmented images according to the fused segmentation result, and achieving an auxiliary repairing method of a bridge of a
nose for image segmentation. The auxiliary repairing method of the bridge of the
nose comprises the steps: (1) generating a
mask of a damaged area; (2) searching for a matched texture block and pasting the texture block to an original image; (3) carrying out
smoothing process at a connecting position of the texture block. The auxiliary repairing method of the bridge of the
nose has the advantages that a repaired image is high in quality and smooth and continuous in line, repair is conducted on the image of the damaged area before a
computed tomography (CT) scan image of the bridge of the nose is used in a
surgery planning and a guide path is produced, so that better
medical care can be obtained.