Electronic brush modeling method based on texture learning

A modeling method and brush technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as large amount of calculation and long processing time, and achieve the effect of fast speed

Inactive Publication Date: 2012-01-04
XIAMEN UNIV
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  • Claims
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Problems solved by technology

However, it is a very complex task to accurately simulate the physical properties of the real writing environm...

Method used

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  • Electronic brush modeling method based on texture learning
  • Electronic brush modeling method based on texture learning
  • Electronic brush modeling method based on texture learning

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Embodiment Construction

[0019] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer and clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0020] Such as figure 1 As shown, the electronic brush modeling method based on texture learning of the present invention comprises the following steps,

[0021] In step A, the user inputs and writes strokes on the digital tablet and stores them in a data structure of multiple discrete points.

[0022] A digital tablet is an input device for a computer, used to input text or images. The digital tablet can be connected with the computer through the data line. The user uses a stylus to write strokes on the digital tablet, and the digital tablet scans i...

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Abstract

The invention discloses an electronic brush modeling method based on texture learning. The method comprises the following steps of: inputting a writing stroke on a digital writing pad by a user, and storing the writing stroke in a mode of a data structure with a plurality of discrete points; taking the discrete points as framework points of the writing stroke, and generating two groups of corresponding edge profile points on the two sides of the framework points according to writing physical strength of each framework point; fitting the two groups of profile points by using a spline curve, and forming a line profile of the stroke; learning real brush calligraphy texture by methods of a neural network and a fuzzy logic, and obtaining a gray value sequence of the calligraphy texture; and filling inner sides of the profile of the stroke according to the obtained gray value sequence and finally obtaining brush calligraphy work. By adoption of the methods of the neural network and the fuzzy logic, real brush calligraphy texture can be obtained, so that the finally-obtained brush stroke is realistic and lifelike, and the speed of computer processing is high.

Description

technical field [0001] The invention relates to a computer data processing method, in particular to an electronic brush modeling method based on texture learning. Background technique [0002] Chinese calligraphy works are widely used in the field of computer design. The traditional method of obtaining calligraphy pictures on the computer is to scan real calligraphy works into the computer through a scanner. With the development of computer technology and interactive equipment, virtual brush technology provides designers with a more convenient and quick tool, allowing art designers to focus more on artistic creation on computers. The current virtual brush technology is mainly based on the physics-based virtual brush writing method. This virtual writing method uses the powerful computing power of the computer to simulate the real physical properties of the brush in the writing process, such as the elastic deformation caused by the interaction between the strokes of the brush...

Claims

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Application Information

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IPC IPC(8): G06K9/68
Inventor 张俊松肖伟屹周昌乐
Owner XIAMEN UNIV
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