Abstract: In order to enhance the quality of the image,on the basis of previous studies,we improved the Canny operator to solve the problem caused by factors such as light,noise caused by image blur,unclear edge．Firstly,by optimizing the GCV criteria based threshold function with genetic algorithm automatically,we reduced the image noise and enhanced the quality of the image simultaneously．Secondly,using adaptive evaluation function to set the thresholds for the Otsu,we reduced the phenomenon of false edges regardless to the ratio of the threshold．Different image edge extraction experiments and data analysis show that the method is improved in terms of detection accuracy,noise immunity,and opera-tional efficiency significantly．At last,for the shortcomings,we pointed out further research direction．

Key words: Canny operator,GCV criteria,Genetic algorithm,Otsu,Evaluation function,Edge detection