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Method of recognizing 2D image and 3D image

A recognition method and image technology, applied in the field of recognition, can solve the problems of not being able to automatically recognize 2D images and 3D images, and the inconvenience of browsing images, and achieve the effects of reducing manual switching, convenient browsing images, and high accuracy

Inactive Publication Date: 2016-05-04
大巨龙立体科技有限公司
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AI Technical Summary

Problems solved by technology

Various existing image browsing devices often cannot automatically identify 2D images and 3D images, but require users to manually switch, causing inconvenience in viewing images

Method used

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  • Method of recognizing 2D image and 3D image
  • Method of recognizing 2D image and 3D image
  • Method of recognizing 2D image and 3D image

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Embodiment Construction

[0015] The method for identifying 2D images and 3D images provided by the present invention will be further described below.

[0016] The invention provides a method for recognizing 2D images and 3D images. The method includes the following steps:

[0017] S1, using multiple 2D images and multiple 3D images as sample image sets;

[0018] S2. Dividing each image in the sample image set into a left half image sample and a right half image sample of the same size, and extracting color autocorrelation graph features from the left half image sample and the right half image sample;

[0019] S3, calculating the difference C between the color autocorrelation graph feature of the left half graph sample and the color autocorrelation graph feature of the right half graph sample 1 , and calculate the correlation coefficient C between the left half graph sample and the right half graph sample at the same time 2 , and put C 1 、C 2 as an evaluation indicator;

[0020] S4, the evaluatio...

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Abstract

The invention relates to a method of recognizing a 2D image and a 3D image. The method comprises the following steps: (1) multiple 2D images and multiple 3D images serve as a sample image set; (2) each image in the sample image set is divided into a left half image sample and a right half image sample with the same size, and color autocorrelogram features of the left half image sample and the right half image sample are extracted respectively; (3) the difference C1 between the color autocorrelogram features of the left half image sample and the right half image sample and a correlation coefficient C2 between the left half image sample and the right half image sample are calculated, and the C1 and the C2 serve as evaluation indexes; (4) the C1 and the C2 are integrated, a decision-making model is built, and the optimal classification boundary is obtained; and (5) through extracting the color autocorrelogram features and the correlation coefficient features of the left half image and the right half image of the to-be-recognized image, the to-be-recognized image is classified and marked based on the optimal classification boundary.

Description

technical field [0001] The invention relates to a recognition method, in particular to a recognition method of 2D images and 3D images. Background technique [0002] 3D images and 3D videos are more and more popular due to their unique stereoscopic display effects. Various existing image browsing devices often cannot automatically identify 2D images and 3D images, but require users to manually switch, causing inconvenience in viewing images. Contents of the invention [0003] In view of this, it is indeed necessary to provide a method for automatically identifying 2D images and 3D images that can be applied to various image browsing devices. [0004] The present invention provides a kind of recognition method of 2D image and 3D image, and it comprises the following steps: [0005] (1) multiple 2D images and multiple 3D images are used as sample image sets; [0006] (2) Divide each image in the sample image set into left half image samples and right half image samples of...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/56G06F18/241
Inventor 陆晶赵佳俊
Owner 大巨龙立体科技有限公司
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