CBR技术在自动配色系统中的应用研究

为提高复杂多变条件下的配色准确率,提出了基于案例推理（case-based reasoning,CBR）的新型自动配色技术,并给出了原型--基于案例推理的配色系统(CBRCMS). CBRCMS对配方库组织结构、配方检索、配方复用、学习调整等关键技术进行了探讨.CBRCMS基于大量的历史优良配方,以色度迭代逼近技术作为配色精度的基本保证,并将其作为CBR配方复用的主要方法.实验数据显示,CBR的引入可明显提高配色准确率,CBR技术的自适应、自学习特点对传统配色技术是很好的补充.

Research of CBR in colour-matching system

To improve color-matching precision under complicated and variable conditions,a novel auto-color matching technology on basis of case-based reasoning(CBR) was promoted,so did the original model case-based reasoning colour-matching system(CBRCMS),which discusses such key technologies as recipe organization,searching,multiplexing,adjusting,etc.Based on multiple excellent recipes,CBRCMS takes chroma iterative approximation technology as a crucial factor ensuring color-matching precision,and treats it as a key method of CBR multiplexing.The experimental data obviously showed that employment of CBR can greatly improve color-matching precision,and that its self-adjusted and self-taught advantages comprise fine supplement to traditional color-matching method.