By Jinlian Hu
Computing device expertise has remodeled textiles from their layout via to their manufacture and has contributed to major advances within the cloth undefined. laptop know-how for textiles and clothing offers an summary of those leading edge advancements for quite a lot of functions, masking subject matters together with constitution and disorder research, modelling and simulation, and clothing design.
The booklet is split into 3 elements. half one offers a evaluate of other computer-based applied sciences appropriate for cloth fabrics, and comprises chapters on laptop know-how for yarn and upholstery constitution research, disorder research and size. Chapters partially speak about modelling and simulation ideas of fibres, yarns, textiles and clothes, whereas half 3 concludes with a evaluation of computer-based applied sciences particular to clothing and clothing layout, with issues starting from 3D physique scanning to the educating of computer-aided layout to style students.
With its unusual editor and foreign workforce of specialist members, desktop expertise for textiles and clothing is a useful software for a variety of humans inquisitive about the fabric undefined, from designers and brands to fibre scientists and caliber inspectors.
- Provides an outline of leading edge advancements in laptop expertise for a variety of applications
- Covers constitution and illness research, modelling and simulation and clothing design
- Themes variety from 3D physique scanning to the instructing of computer-aided layout to style students
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Additional info for Computer Technology for Textiles and Apparel
Towsend M W H and Cox D R (1951), ‘The analysis of yarn irregularity’, J Text I, 42, 107–113. Watanabe A, Kurosaki S N, Konda F and Nishimura Y (1992a), ‘Analysis of blend irregularity in yarns using image-processing. I. Fundamental investigation of model yarns’, Text Res J, 62, 690–696. Watanabe A, Kurosaki S N, Konda F and Nishimura Y (1992b), ‘Analysis of blend irregularity in yarns using image-processing. II. Applying the system to actual blended yarns’, Text Res J, 62, 729–735. Watanabe A, Konda F and Kurosaki S N (1995), ‘Analysis of blend irregularity in yarns using image processing.
In this method, yarn images were captured by a camera from a moving yarn under a microscope. e. light shining from the back of the yarn). These kinds of images were easier to analyze because, under the transmitted light, the yarn core and hairs become dark areas or lines surrounded by the lighter background, as shown in Fig. 4. After the acquisition of a yarn image, a series of pre-processing algorithms were applied to convert it into a grey-scale image and then a binary image. In order to segment the yarn hairs in the image, a row-by-row scanning algorithm was adopted to identify the yarn core in the binary image.
6 where V∞ is an overall variance, BL is a relative variance among sample lengths L of the average intensity values of the pixels within the sample length L, and VL is an average intensity value among sample lengths L of the relative variance of the pixels within the sample length L. From the line sense, BL VL and V∞ are computed and variance-length curves can be displayed. It has been revealed that V∞ represents the total variance of all the intensity values and thus is proportional to the blend ratio of the component fibres.
Computer Technology for Textiles and Apparel by Jinlian Hu