Robot Vision System Based on Image Model Feature Extraction

Abstract

Algorithm encryption of wavelet image which has excellent localization property in time domain and frequency domain can locate graphic information having different directional characteristics into any precision level in certain extent. It has feature matched with human visual characteristics because of the disappearance of blocking effect and the noise. The article first analyzes the wavelet transformation principle of image model in feature extraction process and the second iteration process. Dynamic image feature extraction model can be established using this method in robot vision system. The result of envelope is more realistic and the effect is obvious. The application of the diversity training to project and contrast, the comparison precision is high and relative error is low.