Robust texture segmentation algorithm based on the Fourier spectrum analysis

Tilo Pfeifer; Dominic Sack; Alexandre Orth

doi:10.1117/12.467628

18 October 2002 Robust texture sengmentation algorithm based on the Fourier spectrum analysis

Tilo Pfeifer, Dominic Sack, Alexandre Orth

Proceedings Volume 4902, Optomechatronic Systems III; (2002) https://doi.org/10.1117/12.467628
Event: Optomechatronic Systems III, 2002, Stuttgart, Germany

Abstract

This paper presents a segmentation algorithm for image processing, which is able to distinguish the background's area from the object's area based only on their texture characteristics. The main goal is to develop a segmentation algorithm which does not need any prior information about the object (form, colours, textures, brightness etc.) and which is also robust against industrial conditions (such as shadow effects and electromagnetic noise). The developed solution is based on a predefined and structured background (with a specific frequency in the grey values). The background frequency is compared with the object's texture frequency using a Fourier analysis together with a classification algorithm. Two different types of classification algorithms have been applied: statistical covariance analysis and Neural Networks. The algorithm has been evaluated using real textile images under distinct conditions showing a very appropriated result with a segmentation error smaller than 0,5 percent in the average. The paper finishes with a set of conclusions and perspectives for future works.

Citation Download Citation

Tilo Pfeifer, Dominic Sack, and Alexandre Orth "Robust texture sengmentation algorithm based on the Fourier spectrum analysis", Proc. SPIE 4902, Optomechatronic Systems III, (18 October 2002); https://doi.org/10.1117/12.467628

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