Construction of Computer Aided Grading System based on Image Line Drawing Recognition Algorithm

Construction of computer aided grading system for art professional courses based on the image line drawing recognition algorithm is studied in the paper. Since the existing coding system is based on the block compression mechanism, the block effect will inevitably bring distortion. However, given the block division information, the division information can be used to effectively guide the quality enhancement process, so that the network can accurately detect them and solve various artifacts through positioning. Hence, with this theoretical background, the computer aided grading system for art professional courses based on the image line drawing recognition algorithm is designed. The filtered signal im_gmf is filtered by the maximum value and the minimum value in order to reduce the image salt and pepper noise. Then, this has been set as the standard for further analysis. The performance of the model is then validated by considering the systematic issues.