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A color painting creation method based on image semantic extraction and graffiti

A semantic and graffiti technology, applied in the field of color painting creation based on image semantic extraction and graffiti, can solve problems such as time-consuming, long color painting design cycle, hindering business development, etc., to reduce pressure, solve excessively long design cycle, improve The effect of design efficiency

Active Publication Date: 2020-06-26
HUAQIAO UNIVERSITY +1
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AI Technical Summary

Problems solved by technology

For some painting studios or painters, color painting design takes a lot of time, and the long color painting design cycle has become a pain point in the industry that hinders business development

Method used

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  • A color painting creation method based on image semantic extraction and graffiti
  • A color painting creation method based on image semantic extraction and graffiti
  • A color painting creation method based on image semantic extraction and graffiti

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Embodiment Construction

[0028] see figure 1 , a color painting creation method based on image semantic extraction and graffiti, comprising the following steps:

[0029] Step 101, extract image semantics.

[0030] (1) Select a picture with clear semantic structure as the material picture. Taking a portrait color drawing as an example, it generally includes semantic area elements such as skin, hair (hair, eyebrows, beard, etc.), eyes, mouth, ears, and clothes; taking a landscape color drawing as an example, it generally includes grass, trees, stones, rivers, etc. Semantic elements.

[0031] (2) Create an equal-sized semantic map SEM based on the material map MAT. Specifically, let the color set C, each color c∈C; the semantic set S, each semantic s∈S. According to the rule f(a):C->S that each pixel point x∈C in the material map MAT belongs to a certain semantics, and the color mapping function g(b):S->C corresponding to each semantic, the calculation is The color of each pixel in the semantic map ...

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Abstract

The invention provides a color painting creation method based on image semantic extraction and doodles; the method can immigrate semantic styles into a doodle image, thus further converting into an exquisite color painting; the method collects existing color painting materials, tags semantics in the material images, uses the semantics to form a doodle image, and uses a style immigration technology combining a Markov Random field with a convolution neural network to obtain an exquisite color painting with fused material image style and doodle semantics. The method can reduce the drafting time of a painter repeatedly drafting a same topic, can fast change the composition while keeping the original style, and can provide color painting inspirations, thus solving the color painting supply and demand imbalance pain spot in certain level.

Description

technical field [0001] The invention relates to the fields of image processing, machine learning and deep learning algorithms, in particular to a color painting creation method based on image semantic extraction and graffiti. Background technique [0002] For color painting practitioners, it takes a lot of energy and time to create a new color painting, and at the same time, it is necessary to adjust the existing theme scheme to meet the needs of different customers. For some painting studios or painters, color painting design takes a lot of time, and the long color painting design cycle has become a pain point in the industry that hinders business development. With the development of computer vision technology, image fusion and style transfer algorithms have become more mature, which can extract style and key content from multiple images, and then intelligently generate new images. Therefore, using computer vision technology to assist or accelerate color painting art desig...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/00
CPCG06T11/001
Inventor 王华珍潘傲寒
Owner HUAQIAO UNIVERSITY
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