Development of image pattern for textile based on FFT

Abstract

Purpose -The purpose of this paper is to research an auto generation method of developing FFT image and image pattern for textile based on FFT theory. Design/methodology/approach -In the research, a program was developed to generate FFT images using the FFT algorithm. The process of auto generation FFT image can be divided into the following steps: initializing the size of image, painting source image, giving the color pattern, transforming FFT image by FFT, designing mask template, and image pattern combining by point diagram. These image patterns can be used to apply on the textile. Findings -The results showed that the FFT images can be used for textile designer directly. The FFT images can also be used as elements for textile image design such as clothing. The auto generation FFT images by FFT reflect different modern sense of beauty from traditional geometric images. Research limitations/implications -There are many parameters that affect the art effect of FFT image generating by FFT algorithm. However, there is no discussion about the relationship between the parameters and art effect. Three dimension effects are not obvious in the simulation results by virtual clothing software. Originality/value -The paper presents a fundamental understanding of the property of the FFT image generating by FFT algorithm and application method of the image pattern in clothing.

Research on Intelligent Compaction Technology of Subgrade Based on Regression Analysis

“…e basic principle of intelligent compaction is to view the roller as a loading system acting on the subgrade and to reflect the compaction degree of the subgrade by using the spectrum analysis of the dynamic corresponding signal between the vibrating wheel and the soil, so as to realize the compaction quality detection of the whole rolling surface. e intelligent compaction system reflects the compaction degree size by the distortion degree of the acceleration signal, and its key index is the CMV, which is calculated by first collecting the compaction signal into the acceleration signal collector and then using the fast Fourier transform (FFT) [20,21] technique for spectrum analysis to obtain the amplitude of each frequency component under different force states and find the fundamental frequency signal amplitude and the first harmonic amplitude. e intelligent compaction CMV corresponding to the intelligent compaction system can be expressed by the following equation [22]:…”

Automatic measurement for dimensional changes of woven fabrics based on texture

“…Image analysis has also been proved to be an efficient method for analyzing fabric parameters [11][12][13][14][15][16]. Fast Fourier transform (FFT) is widely used for data processing because of its computational efficiency [17][18][19]. Xu [20] described the detection and measurement method based on the FFT technique and found peaks in the power spectrum, which represented the frequency of periodic elements of warp and weft in the fabric image.…”