Automated String Art Generation Using Iterative  Line Optimization

Author(s)	Mr. UDAY BABU OLETI
Country	India
Abstract	String art is a visual representation technique in which a complex image is approximated using a finite set of straight lines stretched between fixed anchor points. This paper presents an automated algorithm for generating high-detail string art from digital images using grayscale intensity analysis and iterative line optimization. The proposed method transforms an input image into a monochrome density map and incrementally selects line segments that maximize visual similarity to the original image. The algorithm balances computational efficiency and visual fidelity, making it suitable for both digital rendering and physical string art fabrication.
Keywords	String Art, Image Processing, Greedy Optimization, Line Rendering, Computational Art
Field	Arts > Drawing
Published In	Volume 8, Issue 1, January-February 2026
Published On	2026-01-15
DOI	https://doi.org/10.36948/ijfmr.2026.v08i01.66583

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