Outex - new framework for empirical evaluation of texture analysis algorithms

TLDR

The paper introduces the current status of a new initiative to develop a versatile framework and image database for empirical evaluation of texture analysis algorithms. The Outex framework comprises a large collection of surface textures captured under varied conditions, organized into test suites that include baseline results from literature algorithms. The framework’s rich functionality is demonstrated in texture classification, segmentation, and retrieval, and it is publicly disseminated via a website hosting comparative results from worldwide research groups.

Abstract

This paper presents the current status of a new initiative aimed at developing a versatile framework and image database for empirical evaluation of texture analysis algorithms. The proposed Outex framework contains a large collection of surface textures captured under different conditions, which facilitates construction of a wide range of texture analysis problems. The problems are encapsulated into test suites, for which baseline results obtained with algorithms from literature are provided. The rich functionality of the framework is demonstrated with examples in texture classification, segmentation and retrieval. The framework has a web site for public dissemination of the database and comparative results obtained by research groups world wide.