Digital image design is one of advanced technique in textile design. The investigation into digital Jacquard textile design in the colorful mode is one form of research in digital Jacquard fabric design, which aimed a...Digital image design is one of advanced technique in textile design. The investigation into digital Jacquard textile design in the colorful mode is one form of research in digital Jacquard fabric design, which aimed at expanding past and present jacquard design and production methods towards innovative ends. In this paper, the design principles and design methods for unconventional digital Jacquard fabric design in colorful mode have been analyzed based on the new technologies and computer applied color theory. The results of this study will enhance further research in the area of digital textile.展开更多
Digital jacquard fabric has its design concept and method directly borrowed from computer images and color modes, which enabled creation of jacquard fabric design that is far beyond what freehand patterns can express....Digital jacquard fabric has its design concept and method directly borrowed from computer images and color modes, which enabled creation of jacquard fabric design that is far beyond what freehand patterns can express. In this paper, the principles of digital jacquard fabric design were classified into two parts, colorless mode and colorful mode, and an innovative layered combination design method has been suggested contenting with this new design concept, by which digital jacquard fabric can be designed from colorless single-layer structure to colorful compound structure. As a result, designed colorless and colorful jacquard fabrics are capable of expressing picturesque and photo-realistic effects with a mega level color number on face of fabric. It is envisaged that the results of the study are of tremendous benefit to the creation of new jacquard fabric with an inimitable digital effect and this creation pose no problem in mass production.展开更多
Jacquard image segmentation is one of the primary steps in image analysis for jacquard pattern identification. The main aim is to recognize homogeneous regions within a jacquard image as distinct, which belongs to dif...Jacquard image segmentation is one of the primary steps in image analysis for jacquard pattern identification. The main aim is to recognize homogeneous regions within a jacquard image as distinct, which belongs to different patterns. Active contour models have become popular for finding the contours of a pattern with a complex shape. However, the performance of active contour models is often inadequate under noisy environment. In this paper, a robust algorithm based on the Mumford-Shah model is proposed for the segmentation of noisy jacquard images. First, the Mumford-Shah model is discretized on piecewise linear finite element spaces to yield greater stability. Then, an iterative relaxation algorithm for numerically solving the discrete version of the model is presented. In this algorithm, an adaptive triangular mesh is refined to generate Delaunay type triangular mesh defined on structured triangulations, and then a quasi-Newton numerical method is applied to find the absolute minimum of the discrete model. Experimental results on noisy jacquard images demonstrated the efficacy of the proposed algorithm.展开更多
文摘Digital image design is one of advanced technique in textile design. The investigation into digital Jacquard textile design in the colorful mode is one form of research in digital Jacquard fabric design, which aimed at expanding past and present jacquard design and production methods towards innovative ends. In this paper, the design principles and design methods for unconventional digital Jacquard fabric design in colorful mode have been analyzed based on the new technologies and computer applied color theory. The results of this study will enhance further research in the area of digital textile.
基金Key Laboratory of Advanced Textile Materials and Manufacturing Technology (Zhejiang Sci-tech University),Ministry of Education (No.2006KF07)
文摘Digital jacquard fabric has its design concept and method directly borrowed from computer images and color modes, which enabled creation of jacquard fabric design that is far beyond what freehand patterns can express. In this paper, the principles of digital jacquard fabric design were classified into two parts, colorless mode and colorful mode, and an innovative layered combination design method has been suggested contenting with this new design concept, by which digital jacquard fabric can be designed from colorless single-layer structure to colorful compound structure. As a result, designed colorless and colorful jacquard fabrics are capable of expressing picturesque and photo-realistic effects with a mega level color number on face of fabric. It is envisaged that the results of the study are of tremendous benefit to the creation of new jacquard fabric with an inimitable digital effect and this creation pose no problem in mass production.
基金Project (No. 2003AA411021) supported by the Hi-Tech Research andDevelopment Program (863) of China
文摘Jacquard image segmentation is one of the primary steps in image analysis for jacquard pattern identification. The main aim is to recognize homogeneous regions within a jacquard image as distinct, which belongs to different patterns. Active contour models have become popular for finding the contours of a pattern with a complex shape. However, the performance of active contour models is often inadequate under noisy environment. In this paper, a robust algorithm based on the Mumford-Shah model is proposed for the segmentation of noisy jacquard images. First, the Mumford-Shah model is discretized on piecewise linear finite element spaces to yield greater stability. Then, an iterative relaxation algorithm for numerically solving the discrete version of the model is presented. In this algorithm, an adaptive triangular mesh is refined to generate Delaunay type triangular mesh defined on structured triangulations, and then a quasi-Newton numerical method is applied to find the absolute minimum of the discrete model. Experimental results on noisy jacquard images demonstrated the efficacy of the proposed algorithm.
