A Study Regarding To Organizational Identification And Simulation Of Reality For Double-Organization Fabric

With the wide application of computer technology in the textile industry, the textile production automation has become an inevitable trend. However, at present, most studies about the textile CAD focus on the single-fabric kind, and the discussion of complex construction is very little. In recent years, because the double weft weave and double fabric have occupied the market with its unique style and strong thickness then how to find a method which can help for automatic organizational identification and simulation of the fabric have great theoretical and practical significance. Based on the background, a topic about organizational identification and simulation of the fabric is raised in the paper. The research points and achievements are listed as follows:1. In the preprocessing of the fabric images, first extract the weft information using Sobel gradient operator, and then by the method of the line difference operation and setting multiple threshold to improve the algorithm's computational speed. At last, with the idea of pseudo-maximum, the equal-weight mean operations, error compensation and rating Hough transforms for high accuracy, the tilt angle of weft can be detected, and then the tilt angle of fabric images will be acquired.2. By adaptive orthogonal wavelet transform, the fabric images are decomposed to separate the warp and weft fabric parameter information from the whole image information. Combined with mathematical morphology processing method, the parameters as density of the fabric warp and weft will be measured.3. Introduce a field segmentation method which combines Wold and MSRF. First use the Wold texture model to separate certainty from uncertainty by their different properties of spectrum, and then, with the Harmonic filters, remove the uncertainty information. At last, in the pure random, successful image segmentation is achieved by the application of MSRF-based multi-scale random field model4. With the scan line depth buffer algorithm in computer graphics and the light characteristic of yarn fabric, the warp/weft floats light buckling factor model is built to simulate the light shading effect of the sunken / raised fabric.5. In this paper, take the tie pattern fabric for example, and derive ccriterion from the organizational constitutes. And according to the mathematical models built, organization chart of the front and back are achieved. Finally, with the basic yarn model and the woven fabric model, we can complete the computer simulation of the double-organization fabric.6. With Visual Basic programming, a CAD system will be developed. It can not only realize the simulation of seersucker and fancy yarn, but it can realize the simulation of double- organization fabric.This paper incorporated professional textile knowledge and computer image processing techniques, to provide the corresponding algorithm for key issues in the organization analysis and simulation. It not only effectively solved those problems including the fabric image skew detection, organization analysis and field segmentation in fabric organization identification, but also reproduced the simulation results of double-organization fabric. Besides, the CAD system developed in this paper can simulate seersucker, fancy yarn and double- organization fabric at the same time. This study has an important practical significance for the promotion of textile production automation and the development of the textile industry.