Weft Weave Texture Feature Recognition Based on Power Spectrum

Yun Fang Ma

doi:10.4028/www.scientific.net/AMR.468-471.1235

Paper Titles

The Mobile Robot Design Research Based on CNC Machine Group
p.1216

Stiffness Analysis of 6-SPS Parallel Manipulator
p.1220

Study on Dynamic Hybrid Position/Force Control of Two Coordinated Manipulators
p.1224

Effect of Stretching Slenderization Treatment for Microstructure of Yak Hair
p.1231

Weft Weave Texture Feature Recognition Based on Power Spectrum
p.1235

Study on Enhancement Adsorption of Pipemidic Acid from Aqueous Solution by Using an Amino Group Modified Hypercrosslinked Polymeric Adsorbents
p.1239

Synthesis of N-Butyl Acetate by Continuous Catalytic Distillation with Ionic Liquid [Hnmp]HSO₄
p.1243

Self-Propagating High-Temperature Synthesis of TiB₂-Ti(C, N) Cermets Composite Powder
p.1247

The Design and Experiment of Energy Saving Power-Assisted System of Portable Electric Tool
p.1251

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Weft Weave Texture Feature Recognition Based on Power Spectrum

Abstract:

In this thesis, we apply Power Spectrum in fabric weave recognition, use power spectrum to analyze fabric image by image lightness features at definite illumination, and then extract fabric weave texture features. We can obtain fabric weave image power spectrum curve by Fourier Transform. From the curve, we can extract direction information of fabric weave, and get fabric weft density, then calculate weft Tex, weft number, weft repeats. Experiments prove the method practical and useful for fabric weave computer automatic analysis.