Research on Automatic Semantic Classification of Shan shui Images Based on Enhanced Image Processing Algorithm

If we can automatically analyze the semantic categories of Shan shui works and realize the automatic classification of Shan shui works, it will play a very effective auxiliary role in the construction of the painting works museum. Therefore, this paper discusses the automatic classification of Shan shui image semantics based on enhanced image processing algorithm. The extraction and representation of visual features of images in the process of image classification is a prerequisite and foundation for the entire process. In the process of information retrieval and extraction that highlights low-level visual features, great attention should also be paid to image performance. The research shows that in the problem of Shan shui image classification, because of the high semantic discrimination of color information, the overall image classification performance decreases significantly after the loss of color information representation; While purely based on global color histogram features, although the representation of color information is strengthened, the classification performance of the algorithm proposed in this chapter is not as good as that of the algorithm in this chapter because of the high discrimination of texture features between Shan shui images and other categories.