Efficient application of signal processing methods in textile science

At present time a detailed study of textile structure is necessary in new textile applications, as composites, for instance. In composites the longitudinal yam axis is derived from digital photographs of structure cuts. The discrete Fourier transform appears as the best method for very efficient description of yam longitudinal axis. If the spectrum leakage is reduced, yam axis can be approximated by a small number of harmonics. The filtering can be effectively applied to reduce experimental errors. Last but not least, the yam axis can be considered as a realisation of random signal. Therefore, basic course on signal processing should be a part of textile education.