Method for distinguishing Thangka image from non-Thangka image

An image and Thangka technology, which is applied in the field of distinguishing Tibetan Thangka digital images and non-Thangka digital images, can solve the problems of distinguishing between non-Thangka images and non-Thangka images, etc.

Active Publication Date: 2012-06-20
NORTHWEST UNIVERSITY FOR NATIONALITIES
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Problems solved by technology

Up to now, there is no special research and literature report on the method of distinguishing Thangka images from non-Thangka images at home and abroad

Method used

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  • Method for distinguishing Thangka image from non-Thangka image
  • Method for distinguishing Thangka image from non-Thangka image
  • Method for distinguishing Thangka image from non-Thangka image

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Embodiment Construction

[0089] The whole implementation process includes the training stage and the recognition stage; the training stage includes preprocessing, feature extraction, similarity measurement and classifier design; the recognition stage includes preprocessing, feature extraction, similarity measurement and classifier identification.

[0090] In the training phase, the training set images are firstly preprocessed by normalization, block segmentation, and gray scale; by extracting features such as image information entropy, image color change rate, and image symmetry, the image used to distinguish Thangka images from Thangka images is obtained. The discriminative features of non-Thangka images; then templates, threshold training and similarity measurement are performed on image information entropy features, image color change rate features and image symmetry features; finally, a classifier is designed using interval threshold progressive algorithm.

[0091] In the recognition stage, the ima...

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Abstract

The invention discloses a method for distinguishing a Thangka image from a non-Thangka image. The method is implemented on a computer by a training stage and an identification stage, wherein the training stage comprises preprocessing, characteristic extraction, similarity measurement and classifier design, and the identification stage comprises preprocessing, characteristic extraction, similarity measurement and classifier identification. The training stage comprises the following steps of: performing preprocessing operation such as normalization, blocking, graying and the like on an image of a training set; extracting characteristics such as an image information entropy, an image color change rate, image symmetry and the like to obtain identification characteristics for distinguishing the Thangka image from the non-Thangka image; performing template and threshold value training and the similarity measurement on the characteristics of the image information entropy, the image color change rate and the image symmetry; and designing a classifier by adopting an interval threshold incremental algorithm. The identification stage comprises the following steps of: preprocessing the image to be identified; and extracting the characteristics of the image, and classifying and judging whether the image is the Thangka image or the non-Thangka image by using the classifier. The method has high accuracy which reaches 95 percent.

Description

technical field [0001] The invention relates to the fields of image information processing and image recognition, in particular to a method for distinguishing Tibetan Thangka digital images and non-Thangka digital images. Background technique [0002] The so-called distinction or recognition of Thangka images and non-Thangka images is that the computer preprocesses and extracts features from the images to be classified through a digitizer, and then automatically recognizes the obtained data, and then divides the images into Tangka A technique of card images or non-Thangka images. This is a practical application problem of how to make a computer recognize a certain type of image or realize automatic classification of digital images, which has important practical significance and theoretical value. [0003] Thangka has distinct cultural characteristics, strong religious color and unique artistic style. It is an extremely precious image material and physical historical materia...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 王维兰尹路王铁君
Owner NORTHWEST UNIVERSITY FOR NATIONALITIES
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