Construction of Psychological Counseling Intelligent Platform based on Complexity Test Algorithm
Ling Liu · 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) · 2022
By analyzing the target image of the complexity test algorithm, the quantitative description of the psychological state of college students is extracted, and an intelligent platform for psychological counseling is established. Data variance weighted information entropy, gradient direction features, and local contrast features. Using the method of multi-feature fusion, the psychological variance weighted information entropy feature, gradient direction feature and local contrast feature are defined as the complexity feature of the image, and then the effective feature extraction and segmentation of college students' psychological counseling is realized, and the target detection is completed.