在分析基于线性回归、指数修正、胞元划分等3种算法原理的基础上，设计了实验，以评价3种算法在精度、稳定性上的优劣，从而为改进和优化分区纽介堡分色算法提供方向和思路。研究表明：在高保真印刷环境下，线性回归纽介堡方程精度和稳定性最低，指数修正纽介堡方程精度和稳定性其次，胞元划分纽介堡方程精度和稳定性最高。

Arithmetic principles of linear regression, exponent modification, and cellular element partition were analyzed. Experiments were designed to evaluate the accuracy and stability of the three algorithms with the purpose looking for optimizing and improving direction of Subarea Neugebauer Equation. The results showed that linear regressed Neugebauer Equation is the worst in; exponent modified Neugebauer Equation is in the middle; cellular element partition Neugebauer Equation is the best in accuracy and stability under the environment of high-fidelity printing.