Synthesis of Near-regular Natural Textures

TL;DR

This paper presents a new texture synthesis algorithm for near-regular natural textures that preserves global regularity and visual appearance by extracting and matching periodic patterns, with applications in defect detection.

Contribution

The paper introduces a novel texture synthesis method that uses distance matching of periodic patterns to generate realistic textures while maintaining global regularity.

Findings

Effective synthesis of near-regular textures with known periodic patterns

Successful detection of camouflages and defects in textures

Validation through experiments on synthetic textures

Abstract

Texture synthesis is widely used in the field of computer graphics, vision, and image processing. In the present paper, a texture synthesis algorithm is proposed for near-regular natural textures with the help of a representative periodic pattern extracted from the input textures using distance matching function. Local texture statistics is then analyzed against global texture statistics for non-overlapping windows of size same as periodic pattern size and a representative periodic pattern is extracted from the image and used for texture synthesis, while preserving the global regularity and visual appearance. Validation of the algorithm based on experiments with synthetic textures whose periodic pattern sizes are known and containing camouflages / defects proves the strength of the algorithm for texture synthesis and its application in detection of camouflages / defects in textures.