基于SFS算法的网点立体形态的获取与解析

Acquisition and Resolution of 3D Dot Form on Basis of SFS Algorithm

目的在印刷传递过程中对网点微观立体形态进行准确提取并解析。方法在显微测试系统准确采集的网点二维数据的基础上,利用明暗恢复形貌(SFS)原理,构建出不同形状的印刷网点微观三维结构模型。结果直观并精确地还原了不同形状网点在承印物表面附着的立体形态,网点微观立体特性的不同会对印刷质量产生相应的影响。结论 SFS算法推导过程严谨,构建出的立体模型精度较高,能真实、细致地反映出印刷过程中网点传递的具体形态,是网点立体形态还原的有效方法。精确获取并解析印刷网点微观立体形态,可以直观有效地检测网点传递效果,并能从源头上控制印刷质量,是图像复制质量评价的新方法。

The aim of this study was to accurately extract and resolve the dots of 3D micro-morphology in the process of printing transfer. On the basis of accurate collection of 2D dot data by the microscopic test system, the theory of Shape From Shading（SFS） was utilized to construct the 3D model of dot micro-morphology with different printing shape. The 3D form of the printing dot with different shape on the substrate surface was intuitively and accurately restored, and the difference in characteristics of 3D dot micro-morphology caused corresponding effects on the printing quality. The derivation process of SFS algorithm was precise, and the 3D model established had a relatively high accuracy, and could truly and meticulously reflect the specific form of dot transfer in the process of printing, which was therefore an effective method to restore the 3D dot form. Accurate acquisition and analysis of the 3D dot form could intuitively and effectively detect the dot transferring result as well as control the printing quality from the origin, which has become a new method to evaluate image replication quality.