Research Topic · Peer-Reviewed

Texture

Texture is the spatial arrangement and variation of surface features that gives a material or image its characteristic appearance and tactile quality. In digital image processing and computer vision, texture analysis quantifies these patterns, describing properties such as coarseness, regularity, directionality, con…

Curated from this journal's research 📚 9 peer-reviewed articles cited Cited 31× across the literature 🔖 ISSN 2831-8846 🗓 Reviewed June 2026

Overview

Texture is the spatial arrangement and variation of surface features that gives a material or image its characteristic appearance and tactile quality. In digital image processing and computer vision, texture analysis quantifies these patterns, describing properties such as coarseness, regularity, directionality, contrast, and the statistical distribution of intensities or colours across a region. Rather than treating individual pixels in isolation, texture methods capture how values relate to their neighbours, using approaches that include statistical descriptors derived from co-occurrence matrices, frequency-domain and wavelet transforms, fractal dimension, and learned features from neural networks. These descriptors enable a surface to be segmented, classified, or compared, supporting tasks from defect detection to pattern recognition. In additive manufacturing and three-dimensional printing, surface texture is also a physical outcome of the build process, influenced by layer thickness, orientation, and material behaviour, and it affects properties such as adhesion, friction, optical finish, and mechanical performance. Texture characterisation therefore serves both as an analytical tool for interpreting images and as a quality metric for fabricated objects. Applications extend across biomedical imaging, remote sensing, materials science, and quality control, wherever the fine structure of a surface carries diagnostic, functional, or aesthetic significance that coarser measurements would overlook.

Research published in this journal

9 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 9 articles above have been cited 31 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Texture, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in 3D Printing and Applications (ISSN 2831-8846).

Journal editorial board
Barbara Motyl · Italy Christiani Amorim · Belgium Massimo Martorelli · Italy

This page summarises published research for orientation; it is not medical or professional advice.