Research on Image Emotion Classification Based on Gene Expression

Aiming at the problem of image emotion classification, this paper proposes an image emotion classifier based on gene expression programming algorithm. Firstly, we extract HSV spatial histogram and SIFT features from the image, then integrate them with K-means clustering and spatial pyramid matching. Finally, we design chromosome and fitness function based on image emotional features, then implement the emotional classification algorithm based on GEP. The experimental results show that GEP has a good recognition effect, and the accuracy is improved by 6% compared with traditional SVM algorithm.