Electronic brush modeling method based on texture learning

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...

AI Technical Summary

Problems solved by technology

However, it is a very complex task to accurately simulate the physical properties of the real writing environment. The main disadvantage of this method is that the calculation is too large, which leads to a long processing time

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