Fractal Visual Art Graphic Design Based on Computer-Aided Algorithms

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Abstract

Embedded machine vision algorithm development platform is of great significance. Based on the elaboration of visual communication design, this paper further details the design of fractal visual art graphics based on computer-aided algorithms to design edge detection schemes, where edges represent sudden changes in the signal and are able to characterize the rich information of an image. In response to the problems of poor robustness and difficult parameter selection of the currently widely used edge detection algorithms, the platform encapsulates joint edge detection graphic components in a higher-order processing library to achieve the requirements of high-precision detection and to realise enhanced edge detection effects. Finally, the experimental analysis shows that the proposed algorithm has a more accurate detection effect and can meet the user's high-precision detection requirements.

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Zhou, Q., Liu, T., Wu, G., & Chen, X. (2022). Fractal Visual Art Graphic Design Based on Computer-Aided Algorithms. Mathematical Problems in Engineering. Hindawi Limited. https://doi.org/10.1155/2022/3345037

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