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_{In order to reduce the labor intensity of the workers cleaning the rubber marks on the runway and improve the rubber removal efficiency,this paper presents a method to recognize the rubber marks automatically based on the machine vision. The method has designed a system containing lower computercontrolled by a microprocessor, wirelessly, to collect data of images of the rubber marks, and upper computer controlled by PC machine to receive, preprocess and identify them.This paper has selected a recognition algorithm based on cellular neural network by analyzingthe data of the preprocessed images,and determinedan optimal model and the parameters of the algorithmin the MATLAB simulation environment, then,compiled,debugged and completed the automatic recognition process of the rubber marks in the Visual C++ 6.0. The results of simulation and test show that the cellular neural network algorithm doeswork in the automatic recognition system of airportrunway rubber. The designand application of this system will promote the development of the unmanned and intelligent specialequipments at the airport.}