In existing label-based colorization method,labels are employed to only specify chrominance of pixels in several are as during colorization.Since this single kind of user label cannot pro vide enough user′s intention for colorization,the exiting method suffers from falsehood in r esult.To solve this problem,a colorization method which can deal with multiple intuitive labels is proposed in this paper.Firstly,the mathematical analysis on mechanism of optimization colorization algorithms is performed,whic h helps not only to extract relation between output colorization result and user′s input labels,but also to identify the very reason for poor quality result,and encourages a colorization frame to synthesize two additional kinds o f intuitive labels with the existing one. Among them,the non-local one makes it available to take distant propagation,whi ch is beneficial to high-quality colorization on scattered area,and another one named negative label,in contrast to traditional label,reduces the influence of specific label in indicated area,a nd extends flexibility in improvement for poor result.Experiment results s how that the proposed algorithm with intuitive labels can not only provide intelligent ways to understand user i ntention,but also make it easier to control visual effects directly and effectively.