Feature Extraction of Cultural Gene Image Based on PCA Method
Chengsheng Wu, Guanglei Qi, Haiying Zhao, Zhijiang Chen · 2020 International Conference on Computer Engineering and Application (ICCEA) · 2020
Feature extraction technology is an important field in computer vision and image processing. It extracts the image information by using computer software, and then process these information appropriately. Finally, an image of the feature points and the corresponding feature values will be got. This paper introduced the main principles of the PCA feature extraction method, and analyzed the advantages of feature extraction in the study of cultural genes. Matlab software was used to carry out the experiments of feature extraction and recognition on the Miao costume image cultural gene data set. The effects of using original image recognition and feature extraction were compared. In final, effectiveness of the algorithm was verified and the significance of feature extraction technology in the study of cultural gene was proved.