彩色像景CAD映射分色算法

Mapping and color separation algorithm of woven photograph CAD

针对彩色像景CAD技术中现有分色算法过程复杂,易产生多解等问题,对比RIP分色技术,并根据彩色像景CAD技术的特性以及织物实际生产工艺,提出了一种基于在HSI颜色空间内进行色彩饱和度压缩的彩色像景CAD映射、分色方法。该方法根据基色色调角度,将被映射颜色分为多个映射区域进行映射、分色,算法过程简单易懂,且解决了多基色映射时的多解问题。在Jacket for MatLab环境下实现了该彩色像景CAD映射分色方法。实验结果证明,这种方法具有良好的分色效果,且Jacket中GPU计算的应用使得图像处理速度大幅提升,从而保证了远程交互式设计的实时性。

Aiming at the problems of the complex procedure and multiple solutions in the present mapping and color separation algorithms of woven photograph CAD technology, the paper compares it with the technology of color separation in RIP and takes the characteristic of the woven photograph CAD technology and the actual fabric production process into account, and then comes up with a solution of mapping and color separation of woven photograph CAD which is based on the compression of saturation in the HSI color space. In this solution, colors are divided into some mapping spaces to map and separate according to the hue angles of the primary colors. It is easy to understand and resolves the trouble of multiple solutions of mapping and color separation by multicolor base. The paper realized this solution of mapping and color separation of woven photograph CAD under the Jacket for MatLab environment. Experiments show that this solution is very effective in color separation. In addition, the use of GPU computation in Jacket improves computational efficiency of image processing, which makes it possible to design by real-time interaction on the internet.