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Implicit sequence learning paradigm is an important form of implicit learning. In order to study the probability implicit sequence differences of high and low emotion openness, this paper uses stepwise half method to select different RSI points, and each RSI point is done binary coding, finally it uses the genetic algorithm to complete the cross process of sequence. Through the iteration calculation and comparison, this paper obtains the implicit test scores in different RSI conditions for different openness, finally carries on the curve fitting for multiple RSI points scores by using the MATLAB software. From the fitting results it can be found that implicit awareness process for high emotion openness and low emotion openness is different, and implicit learning test result has certain changing trend with RSI, so as to reveal the implicit gradient process difference of high and low emotion openness. Introduction Implicit sequence learning is another major research paradigm in implicit learning field besides the artificial grammar learning. In this paradigm, a stimulus symbol sequentially appears in horizontal arrangement several locations, and this order is following a specific sequence [1, 2]. In general, the right stimulation has no consciousness or no affect on the implicit learning of sequence. But the level of emotional open reaction probability is different, and it has obvious difference in implicit sequence. In order to verify the difference, the paper uses genetic algorithm to encode on the on high and low emotion openness, and uses MATLAB to do curve fitting on RSI implicit test scores. The main frame structure is as shown in Figure 1. RSI data initialization Implicit sequence difference changing with RSI Genetic operators (crossover and mutation) Group updating RSI result code Calculating the adaptation degree Implicit sequence difference The evolution memory cells

Image Detection Technology of Implicit Sequence Difference Based on Differential Information Theory