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International Journal of Electrical and Electronic Science

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Fuzzy Logic Forge Filter Weave Pattern Recognition Analysis on Fabric Texture

International Journal of Electrical and Electronic Science
Vol.5 , No. 3, Publication Date: May 31, 2018, Page: 63-70

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Authors

[1]	EB Priyanka, Department of Mechatronics Engineering, Kongu Engineering College, Perundurai, India.
[2]	Thangavel Subramaniam, Department of Mechatronics Engineering, Kongu Engineering College, Perundurai, India.

Abstract

In today’s textile industry, the evaluation of fabric texture properties still relies on manual operations with the help of microscopes, which are very tedious and time consuming. Developments in computer vision technology led to an increased research effort in image texture analysis for a large variety of applications, such as surface roughness inspection in manufacturing, texture classification, defect recognition for textile quality control, medical image inspection shape recognition and liquid depth measurement. The surface roughness measurement of the fabric can be carried out using various methods. Fractal dimension is a parameter frequently used to analyze surface roughness. The fractal dimension measurement is based on 2D-FFT which is scale-invariant and rotation-invariant. The computer simulated fabric images and real woven scanned fabric images are used to demonstrate that FD-FFT using Fuzzy logic with 3D visualization and interpretation provides a fast and reliable parameter for fabric roughness measurement.

Keywords

2D-FFT, Fuzzy Logic, Surface Roughness, Fractal Dimension

Reference

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