31 results about "Digital restoration" patented technology

A method for digitally designing a digital restoration design and a digital reduction coping design, the method includes obtaining a digital 3D representation of the upper jaw and the lower jaw of the patient, the digital 3D representation includes a digital 3D preparation representing at least one preparation targeted for receiving a restoration; digitally determining a reduction surface intersecting the digital 3D preparation, the reduction surface arranged order to meet a minimum thickness requirement for the digital restoration design; and digitally designing the digital restoration design and the digital reduction coping design based at least on the reduction surface and the digital 3D preparation. This allows designing the reduction coping and the restoration at the same time and thereby reduces chair time and visits by the patient.

The invention discloses a method for digital restoration of an urban spatial pattern, which belongs to the field of the restoration of urban spaces. The method comprises the following steps: registration and scanning of a historically old map: registering and correcting through making full use of ArcGIS software and remote sensing data of a city to be restored, and registering the historically old map into the present remote sensing data; restoration of a historical urban space; correction of errors in restoration results of the historical urban space: correcting the errors in the restorationresults with the spatial analysis method of the ArcGIS and the mathematical statistics, thereby realizing the digital restoration of the urban spatial pattern. With the adoption of the 3S technology,the invention changes the conventional method for spatial pattern restoration simply depending on paper drawings and verification of historical documents, effectively improves the drawing efficiency and quality of the historical urban map, forms 'a map' of urban spatial patterns in different historic periods based on the unified spatial scale, the unified spatial reference and the unified spatialclassification, and guarantees the restoration, management, presentation and application of the urban spatial patterns.

The herein invention discloses and claims a quantitative image restoration in bright field (QRBF) method that faithfully recovers shape and enables quantify size of individual unstained samples. The QRBF method restores out-of-focus BF images of unstained samples by applying deconvolution, which enhances contrast and allows for quantitative analysis. To perform deconvolution our procedure uses a point spread function modeled from theory. Image deconvolution can be performed even from a single input image in two dimensions (2D-QRBF), and quantitative information such as size and shape of samples can be determined from restored 2D-QRBF images. Application of 2D-QRBF in a high-throughput screening process to assess shape changes in cells during hyperosmotic shock shows that the described digital restoration approach is suitable for quantitative analysis of unstained BF images in high-throughput image cytometry.

The invention discloses a method for constructing a natural tooth type database, comprising the following steps: 1. Recording object information; 2. Obtaining a digital model; 3. Segmenting dentition data; 4. Modifying tooth shape; 5. Mirror image processing; 6. . Tooth type anatomical landmark area editing; 7. Dental data positioning editing; 8. Natural tooth type database import. The invention also discloses a system for constructing a natural tooth type database. The present invention is a method and system for constructing a natural tooth type database. The construction of the natural tooth type database is completed through the above-mentioned technology, which solves the problems of tooth type mismatch, single shape, lack of natural shape texture, and poor aesthetics in the current digital design of dental restoration; Moreover, the natural tooth database constructed by this method can be used in any digital restorative design, such as crowns, bridges, veneers, inlays, removable partial dentures, and complete dentures; Matching profile data.

A method of restoring paintings includes steps for acquiring image data of a painting having a deteriorated part evidencing deterioration including at least one selected from among fading, exfoliation, and damage or loss of the support; generating digital restoration data in which the damaged part of the image data is restored by digital simulation using a computer; printing the digital restoration data on a backing of the painting using ink; and lamination of the printed backing material of the painting to the back of the painting.

Disclosed are a rough surface fissure generation method based on digital image technology, and an experimental system, relating to the technical field of rock mechanics experiments. The method comprises the steps of: A. loading a rock specimen with a through fissure formed therein, and removing debris on the surface of the specimen; B. a scanner scanning a rough fissure surface to obtain a digital image of the rough fissure surface; C. processing the digital image, wherein denoising processing and threshold segmentation processing are involved; D. performing normalization processing on an RGB value of the digital image to obtain a normalized matrix, establishing a space coordinate system, and obtaining a restoration scale of an image digital matrix; E. calculating a digital restoration matrix; and F. completing simulation of a rough surface fissure, and restoring a complete space fissure. The experimental system for the method comprises: a housing (1), a column (2), a telescopic cylinder array (3), a control system (4) and a hydraulic circuit (5). By means of the method and system, the roughness structure of a rock fissure can be accurately described, thereby facilitating the study of the laws of the physical mechanics of rock rough fissure seepage.

The invention discloses a mesh model area division method for denture digital restoration, including adjusting the direction of all intersection lines in the tooth model according to a preset positive direction; calculating the enclosing area of ​​each intersection line; Computational processing is performed on each encircled area, and the divided area is obtained and output. The present invention effectively solves the problem of division of multiple regions of the model, and can quickly and accurately divide the model into mutually independent regions when there are multiple intersection lines on the surface of the model, and does not need to care about the nesting relationship of model entities. As long as the intersection line of a model is determined, the area can be divided, which greatly improves the scope of application, and gets rid of the limitation that the area can only be divided according to one intersection line. The invention can be widely applied in the technical field of dentures.

The invention discloses an image restoring method based on isotropic diffusion and sparse representation, which comprises the following steps: dividing a defective region of an image into a homogenousregion and a complex region according to information of a surrounding image of the defective region; restoring the homogenous region by an isotropic diffusion method; restoring the complex region bya sparse representation method; and fusing restoration results of the restored homogenous region and the restored complex region to obtain a restoration result of the defective region, and replacing adefective part of a source image with the restoration result of the defective region to obtain a final restoration result image. The restoration result image is superior to results generated by the prior like restoring method; the method has high restoring speed, is suitable to be applied to restoring real pictures and composite images with complicated texture and structure characteristics; moreover, the method is also applicable to digital restoration of artworks and post production of film and TV programs.

The invention discloses a high-fidelity digital restoration method for fading color murals, which includes a comprehensive mural paint database composed of basic pigment samples used in murals, fading simulation experiment samples and mixed pigment samples constructed by double-constant Kubelka-Munk theory. As a reference for the identification of mural paints; obtain the visible spectrum images of ancient murals; render the visible spectrum images to obtain the corresponding color RGB images; use the deep learning segmentation model unet to finely segment the color RGB images; calculate the representativeness of each sub-region Average spectral reflectance, and extract the spectral features of each sub-region; through feature matching, carry out pigment identification and analysis on each sub-region; based on the pigment recognition results and the representative average spectral reflectance of each sub-region, carry out color high-fidelity for each sub-region Restoration; by setting the adjustment parameter alpha, the simulated reproduction of fading and discoloration of color murals is realized; finally, high-fidelity digital restoration of faded and discolored mural colors is completed.

The application discloses a Tujia brocade traditional residual pattern digital repair method, comprising damaged area automatic detection, image structure component and texture component decomposition, structure component variation PDE repair and texture component texture synthesis repair, and concretely comprising the steps of: building a Tujia brocade digital image damaged area automatic detection and positioning model; constructing a variation image decomposition mode to decompose a Tujia brocade image into a structure component and a texture component; designing a variation PDE mode to repair the Tujia brocade structure component, and a texture synthesis algorithm based on samples to repair the Tujia brocade texture component; and finally, synthesizing the structure component and texture component after repair to obtain the complete repair of the Tujia brocade digital image. The Tujia brocade traditional residual pattern digital repair method repairs a Tujia brocade traditional residual pattern through the digital technology, can find the most satisfactory repairing effect through multiple tries, meanwhile does not need to damage original brocade, and provides a safe and convenient approach for Tujia brocade repair work.