Method for restoring Thangka image by combining shapes and neighborhood classification of damaged piece

A technology of damaged blocks and damaged areas, applied in image analysis, image data processing, 2D image generation, etc., can solve the problems of no thangka image restoration technology, complex thangka image screen and damage situation, etc.

Active Publication Date: 2012-06-20
NORTHWEST UNIVERSITY FOR NATIONALITIES
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  • Application Information

AI Technical Summary

Problems solved by technology

Image repair There is no unified method to solve all broken image repair problems
Moreover, the picture and damage of Thangka im

Method used

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  • Method for restoring Thangka image by combining shapes and neighborhood classification of damaged piece
  • Method for restoring Thangka image by combining shapes and neighborhood classification of damaged piece
  • Method for restoring Thangka image by combining shapes and neighborhood classification of damaged piece

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Embodiment Construction

[0102] First, classify the shape of the damaged block; firstly, use the existing watershed method to segment the image to be repaired, and divide the shape of each damaged block in the damaged area into a line shape and a block shape to realize the shape classification of the damaged block; second, to classify the damaged block shape Neighborhood classification of blocks; use gray-level co-occurrence matrix to extract the second-order statistical information of neighborhood blocks, extract various features of the response texture through gray-level co-occurrence matrix, and perform Gaussian normalization on the features, using the existing K nearest neighbor method Divide the neighborhood blocks into texture blocks and non-texture blocks to realize the classification of damaged block neighborhoods; thirdly, repair the damaged blocks; combine the characteristics of the repair algorithm, the shape of the damaged block and the type of the damaged neighborhood block to formulate the...

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Abstract

The invention discloses a method for restoring a Thangka image by combining the shapes and neighborhood classification of damaged pieces. A proper algorithm is automatically selected to restore a damaged Thangka image according to the shapes and neighborhood information of the damaged pieces, the characteristics of the conventional restoration algorithms and the like. The method mainly comprises the following steps of: segmenting the image to be restored by using a watershed segmentation method, and classifying the damaged pieces in a damaged area into linear damaged pieces and blocky damagedpieces to realize the shape classification of the damaged pieces; extracting the second-order statistical information of neighborhood pieces by adopting a gray level co-occurrence matrix, extracting various characteristics of reaction textures by using the gray level co-occurrence matrix, performing Gaussian normalization on the characteristics, and classifying the neighborhood pieces into texture blocks and non-texture blocks by adopting a conventional K-nearest neighbor method to realize the neighborhood classification of the damaged pieces; and formulating selection rules for the algorithms by combining the characteristics of the restoration algorithms, the shapes of the damaged pieces and the neighborhood classes of the damaged pieces, and automatically restoring the damaged area. Themethod is applied to the restoration of various linear and blocky damaged pieces and various damaged neighborhoods of Thangka digital images, and has high restoration speed and efficiency.

Description

technical field [0001] The Thangka image restoration method combined with damage block shape and damage block neighborhood classification belongs to the field of digital image restoration. Background technique [0002] The so-called Thangka image restoration method combined with damaged block shape and neighborhood classification is that the computer uses a digitizer to automatically repair the damaged part of the original image with the information of the undamaged area according to reasonable rules. The technique of partially filling for good visual effect. Thangka image restoration is a practical application problem, which has important practical significance and theoretical value in cultural heritage protection and other aspects. [0003] Digital image restoration technology is currently a research hotspot in the field of computer vision, and an important application is the virtual restoration of cultural heritage and artwork. As a living culture and an important intan...

Claims

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Application Information

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IPC IPC(8): G06T11/00G06T7/00
Inventor 王维兰卢小宝胡文瑾
Owner NORTHWEST UNIVERSITY FOR NATIONALITIES
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