%0 Journal Article
%T 数字纹理图像生成算法研究<br>Study on Digital Texture Image and Intelligent Reading Algorithm
%A 赵珊珊
%A 曹鹏
%J Computer Science and Application
%P 8-19
%@ 2161-881X
%D 2025
%I Hans Publishing
%R 10.12677/csa.2025.153053
%X 本研究提出一种利用参数方程生成数字纹理图像的方法。该算法通过灵活运用参数方程&#65292;生成各类矢量图元(如半圆矢量图元)以构建基础纹理图像&#65292;同时对图元进行随机平移或旋转操作&#65292;增强纹理的随机性。在对基础图像进行字符化时&#65292;从多种类型的总字符集随机选取字符&#65292;最终生成兼具特殊艺术效果与卓越防伪特性的数字纹理图像。实验结果有力证明&#65292;此算法在生成的数字纹理图像不仅艺术效果独特&#65292;且凭借高度的唯一性和随机性&#65292;极大提升了防伪性能&#65292;为产品提供可靠的防伪保障。<br>This research proposes a method for generating digital texture images by utilizing parametric equations. The algorithm, through the flexible application of parametric equations, generates various vector primitives (such as semicircular vector primitives) to construct the basic texture image. Meanwhile, random translation or rotation operations are performed on these primitives to enhance the randomness of the texture. During the process of characterizing the basic image, characters are randomly selected from a diverse set of total character sets. Ultimately, a digital texture image that combines special artistic effects and excellent anti-counterfeiting properties is generated. The experimental results strongly demonstrate that the digital texture images generated by this algorithm not only possess unique artistic effects, but also, by virtue of their high degree of uniqueness and randomness, significantly enhance the anti-counterfeiting performance, providing reliable anti-counterfeiting protection for products.
%K 数字纹理图像&#65292
%K 参数方程&#65292
%K 随机字符化&#65292
%K 艺术效果&#65292
%K 防伪特性<br>Digital Texture Images
%K Parametric Equations
%K Random Characterization
%K Artistic Effects
%K Anti-Counterfeiting Properties
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=109119