在形状基不定情况下,对三维服装信息提取过程存在特征关联较弱,分割区域扩大等问题.为此,提出一种基于3D打印与三维图像处理的服装信息提取方法.首先对采集的服装三维图像进行纹理特征分割,图像序列自适应块匹配方法进行信息增强处理,然后采用桌面型3D打印技术进行服装设计中的图像三维重构,进行服装三维图像表面渲染,实现服装信息提取.最后通过仿真实验进行性能测试,结果表明:采用该方法进行服装信息提取,能准确反映服装的纹理信息和三维渲染信息,服装设计的色彩均衡性较好,有效指导服装设计优化.%In the case of uncertain shape,the three-dimensional garment information extraction process has weak characteristics correlation,segmentation area expansion and other issues. Thus,a new method of garment informa-tion extraction based on 3D printing and 3D image processing was proposed. Firstly,the three-dimensional gar-ment image was segmented by texture feature,and image sequence adaptive block matching method was used to perform information enhancement processing. Then using the desktop 3D printing technology carried out three-di-mensional image reconstruction in the garment design,and the three-dimensional garment image surface rendering was performed,to achieve garment information extraction. Finally,performance tests were performed by simula-tion experiments. The results show that the proposed method can be used to extract the garment information, which can accurately reflect the garment texture information and the three-dimensional rendering information. The color balance of the garment design is better and the garment design is optimized effectively.
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