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Method for converting two-dimensional graphic elements into vector graphic elements based on artificial neural network

A technology of artificial neural network and graphic elements, applied in neural learning methods, biological neural network models, graphic image conversion, etc., can solve the problems of high drawing ability requirements of users, uneven drawing quality, and low degree of automation, and achieve Reduce data preparation and labor costs, improve accuracy, and reduce labor costs

Pending Publication Date: 2021-08-24
GUANGZHOU TIANYUE ELECTRONICS TECH
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  • Summary
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  • Description
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  • Application Information

AI Technical Summary

Benefits of technology

This patented describes an algorithm that helps create digital images from original documents without requiring manual effort or expensive equipment like scanners. It works with Artificial Intelligence (AI) techniques such as deep learning models trained over large amounts of data collected during drafts drawn up at different times. Users don't have much more experience when converting them into digitized forms than they would if done manually. Overall, it simplifies the process of generating new content quickly and accurately.

Problems solved by technology

The technical problem addressed in this patented text relates to improving the usability or functionality of three dimensional visual representations like graphs while also reducing costs associated therewith. This involves transformring 2D graphics into vectors representing 3D objects without requiring extensive training effort from experts who manually operate these tools.

Method used

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  • Method for converting two-dimensional graphic elements into vector graphic elements based on artificial neural network
  • Method for converting two-dimensional graphic elements into vector graphic elements based on artificial neural network

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0029] Please refer to figure 1 and figure 2 ,in, figure 1 The training data automatic generation flowchart of the method for converting two-dimensional graphic elements based on artificial neural network to vector graphic elements provided by the present invention; figure 2 It is a flow chart of digitized drawing transformation of the method for converting two-dimensional graphic elements based on artificial neural network to vector graphic elements provided by the present invention. The method for converting a two-dimensional graphic element into a vector graphic element based on an artificial neural network comprises the following steps:

[0030] S1: Image training data automatic generation module;

[0031] S2: digital information extraction module;

[0032] S3: digital drawing conversion module;

[0033] The S1 includes S11, S12, S13, S14, S...

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Abstract

The invention provides a method for converting two-dimensional graphic elements into vector graphic elements based on an artificial neural network. The method for converting the two-dimensional graphic elements into the vector graphic elements comprises S1, an image training data automatic generation module; S2, a digital information extraction module; and S3, a digital drawing conversion module. According to the method for converting the two-dimensional graphic elements into the vector graphic elements based on the artificial neural network, a machine automatically converts an existing drawing into a digital vector drawing through an artificial intelligence technology, a manual work drawing is replaced, the requirement for high-technology drawing personnel is greatly reduced, the labor cost is reduced, and through the use of a deep learning model, high-difficulty conversion work is completed by a machine, a user only needs simple computer operation, and the requirement for the technical capability of the user is lowered.

Description

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Claims

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Application Information

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Owner GUANGZHOU TIANYUE ELECTRONICS TECH
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