Procedural Terrain Generation Using Perlin Noise

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Aditya Digambar Kamble; MRS. SWATI D. GHULE

Procedural Terrain Generation Using Perlin Noise

Authors: Aditya Digambar Kamble, MRS. SWATI D. GHULE

Unique Paper ID: 180167
Volume: 12
Issue: 1
PageNo: 256-259

Keywords: No Keywords Found

Abstract:
Procedural terrain generation is a cornerstone technique in computer graphics and game development, enabling the automatic creation of expansive and detailed landscapes. This paper explores the use of Perlin noise — a gradient noise function — for generating realistic and high-quality terrains. By using Python and libraries like NumPy, Matplotlib, and the noise package, a scalable and customizable 3D terrain model is implemented and visualized. The generated terrain is enhanced using an intuitive color mapping strategy that simulates natural features like water bodies, grasslands, mountains, and snow-capped peaks. The study examines the effectiveness of Perlin noise in maintaining visual coherence and randomness while preserving computational efficiency. The results demonstrate that Perlin noise based generation offers a versatile and controllable method for producing realistic virtual terrains with minimal manual intervention.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 1
PageNo: 256-259

Procedural Terrain Generation Using Perlin Noise

Available:https://ijirt.org/article?manuscript=180167

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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