Auxiliary repairing method of bridge of nose

Abstract

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.

Description

technical field [0001] The invention relates to the field of images for auxiliary nose bridge repairing methods, in particular to a repairing method for damaged vertebrae images in X-ray navigation. Background technique [0002] On November 8, 1895, Roentgen accidentally discovered "X" rays during his research and used it to take the first medical image in human history for his wife. Roentgen himself also won the first Nobel Prize for this major contribution Physics Prize. For more than a century, medical imaging has undergone revolutionary development. Computed tomography (CT), magnetic resonance imaging (MRI), and other imaging modalities provide effective means for non-invasive mapping of tissues and organs. This allows scientists and surgeons to actually interact with tissue structures and gain information on vital activity. Today, the role of medical imaging is not limited to simple visualization and observation of tissue structures, but also enables diagnosis of pat...

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Problems solved by technology

However, there are no relevant reports on the application in the medical field so far.

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